{ "cells": [ { "cell_type": "markdown", "id": "078900c6-d71d-44f0-9e76-cc5ce66f0ca9", "metadata": {}, "source": [ "# Logistic regression: monotonic cubic intended for paper\n", "\n", "Exploring different fitting techniques and using MLE asymptotic approx of parameter distribution to estimate model CI intervals using monotonic (constrained) cubic logistic regression model.\n", "\n", "Considering full data and trimmed. The results are intended for the paper." ] }, { "cell_type": "markdown", "id": "e18cec5e", "metadata": {}, "source": [ "## Common" ] }, { "cell_type": "code", "execution_count": 1, "id": "031f95bb", "metadata": {}, "outputs": [], "source": [ "from pathlib import Path\n", "import sys\n", "\n", "project_root = Path.cwd().parent # when notebook is in project/notebooks/\n", "src_dir = project_root / \"src\"\n", "\n", "if str(src_dir) not in sys.path: sys.path.insert(0, str(src_dir))" ] }, { "cell_type": "code", "execution_count": 2, "id": "3b351af7", "metadata": {}, "outputs": [], "source": [ "import matplotlib.pyplot as plt\n", "import numpy as np\n", "\n", "import pandas as pd\n", "\n", "# our libs\n", "from irae_risk import data\n", "from irae_risk import reporting\n", "from irae_risk import logistic\n", "\n", "import numdifftools as nd\n", "\n", "# general setting\n", "np.set_printoptions(precision=16)\n", "width=5\n", "\n", "height=3.6\n", "verbose = False" ] }, { "cell_type": "markdown", "id": "e0de7f02-942b-42ff-874c-3c0e2ac1e0dc", "metadata": {}, "source": [ "## Data" ] }, { "cell_type": "code", "execution_count": 3, "id": "3373f87f", "metadata": { "tags": [] }, "outputs": [], "source": [ "# load all data\n", "data_path = Path(\"../data/raw\")\n", "\n", "results_path = Path(\"../results/logit_mono-cubic4paper\")\n", "if not results_path.exists(): results_path.mkdir(parents=True)\n", "\n", "df = data.load_mat_data_to_dataframe(\n", " suv_filename = data_path / \"suv_percentilesSLOthenUWM.mat\",\n", " flags_filename = data_path / \"flags_combined.mat\",\n", " nr_patients = 58,\n", ")" ] }, { "cell_type": "code", "execution_count": 4, "id": "4a292c31", "metadata": {}, "outputs": [ { "data": { "application/vnd.microsoft.datawrangler.viewer.v0+json": { "columns": [ { "name": "index", "rawType": "int64", "type": "integer" }, { "name": "X", "rawType": "float64", "type": "float" }, { "name": "Y", "rawType": "uint16", "type": "integer" }, { "name": "scale", "rawType": "object", "type": "string" }, { "name": "dataset", "rawType": "object", "type": "string" } ], "ref": "1ab27509-9651-4973-acba-207a1e5df142", "rows": [ [ "0", "2.105301856994629", "1", "plain", "FULL" ], [ "1", "1.5363825559616089", "0", "plain", "FULL" ], [ "2", "1.2744046449661255", "0", "plain", "FULL" ], [ "3", "1.1879351139068604", "0", "plain", "FULL" ], [ "4", "1.674635887145996", "1", "plain", "FULL" ], [ "5", "0.9956096410751343", "0", "plain", "FULL" ], [ "6", "1.299513339996338", "0", "plain", "FULL" ], [ "7", "1.4487504959106445", "0", "plain", "FULL" ], [ "8", "1.413230061531067", "0", "plain", "FULL" ], [ "9", "0.9771649837493896", "0", "plain", "FULL" ], [ "10", "4.151835918426514", "1", "plain", "FULL" ], [ "11", "1.2182496786117554", "0", "plain", "FULL" ], [ "12", "1.4161512851715088", "0", "plain", "FULL" ], [ "13", "1.0392482280731201", "0", "plain", "FULL" ], [ "14", "0.9517614245414734", "0", "plain", "FULL" ], [ "15", "1.1691256761550903", "0", "plain", "FULL" ], [ "16", "1.2764477729797363", "0", "plain", "FULL" ], [ "17", "2.093014717102051", "1", "plain", "FULL" ], [ "18", "1.4033281803131104", "0", "plain", "FULL" ], [ "19", "1.3139079809188843", "0", "plain", "FULL" ], [ "20", "1.2648413181304932", "0", "plain", "FULL" ], [ "21", "1.0153511762619019", "0", "plain", "FULL" ], [ "22", "0.8774824142456055", "0", "plain", "FULL" ], [ "23", "1.4715447425842285", "0", "plain", "FULL" ], [ "24", "1.3867568969726562", "0", "plain", "FULL" ], [ "25", "1.485943078994751", "0", "plain", "FULL" ], [ "26", "1.1236064434051514", "0", "plain", "FULL" ], [ "27", "1.4543627500534058", "0", "plain", "FULL" ], [ "28", "1.4773426055908203", "0", "plain", "FULL" ], [ "29", "0.9777777791023254", "0", "plain", "FULL" ], [ "30", "1.3661614656448364", "0", "plain", "FULL" ], [ "31", "1.1513208150863647", "0", "plain", "FULL" ], [ "32", "1.5016859769821167", "0", "plain", "FULL" ], [ "33", "1.1443067789077759", "0", "plain", "FULL" ], [ "34", "1.1909537315368652", "0", "plain", "FULL" ], [ "35", "2.2312088012695312", "1", "plain", "FULL" ], [ "36", "1.4084224700927734", "0", "plain", "FULL" ], [ "37", "0.7728464007377625", "0", "plain", "FULL" ], [ "38", "1.2335227727890015", "0", "plain", "FULL" ], [ "39", "1.200500249862671", "0", "plain", "FULL" ], [ "40", "1.5441060066223145", "0", "plain", "FULL" ], [ "41", "1.4373862743377686", "0", "plain", "FULL" ], [ "42", "1.4075382947921753", "0", "plain", "FULL" ], [ "43", "1.3086644411087036", "0", "plain", "FULL" ], [ "44", "1.4602000713348389", "0", "plain", "FULL" ], [ "45", "1.299428939819336", "0", "plain", "FULL" ], [ "46", "1.2612273693084717", "0", "plain", "FULL" ], [ "47", "1.1733968257904053", "0", "plain", "FULL" ], [ "48", "1.786200761795044", "0", "plain", "FULL" ], [ "49", "1.2313168048858643", "0", "plain", "FULL" ] ], "shape": { "columns": 4, "rows": 230 } }, "text/html": [ "
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" ], "text/plain": [ " X Y scale dataset\n", "0 2.105302 1 plain FULL\n", "1 1.536383 0 plain FULL\n", "2 1.274405 0 plain FULL\n", "3 1.187935 0 plain FULL\n", "4 1.674636 1 plain FULL\n", ".. ... .. ... ...\n", "225 0.428051 0 log TRIM\n", "226 0.418426 0 log TRIM\n", "227 0.444583 0 log TRIM\n", "228 0.210767 0 log TRIM\n", "229 0.364238 0 log TRIM\n", "\n", "[230 rows x 4 columns]" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# get (x,y) data for a given organ and percentile\n", "perc = 95\n", "organ = \"lung\"\n", "\n", "x0, y0 = data.get_data_from_dataframe(df, organ, perc)\n", "\n", "# values for trimmed dataset\n", "value_to_drop = 2.48 # target value\n", "tol = 1e-2 # tolerance: matches 2.481... too\n", "drop_mask = (np.abs(x0 - value_to_drop) <= tol)\n", "\n", "# prepare datasets FULL, TRIM\n", "df_data = data.prepare_datasets(x0, y0, drop_mask)\n", "df_data" ] }, { "cell_type": "code", "execution_count": 5, "id": "f27d9a03", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Index(['X', 'Y', 'scale', 'dataset'], dtype='object')\n" ] } ], "source": [ "print(df_data.columns)" ] }, { "cell_type": "markdown", "id": "35e9bb7b-5a50-4cae-9af4-261c11453dd4", "metadata": {}, "source": [ "## Fit\n", "\n", "Ref: logistic regression documentation\n", "* https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n", "* https://stats.stackexchange.com/questions/186830/what-is-scikit-learns-logisticregression-minimizing" ] }, { "cell_type": "code", "execution_count": 6, "id": "239ae789", "metadata": { "tags": [] }, "outputs": [ { "data": { "application/vnd.microsoft.datawrangler.viewer.v0+json": { "columns": [ { "name": "index", "rawType": "int64", "type": "integer" }, { "name": "scale", "rawType": "object", "type": "string" }, { "name": "dataset", "rawType": "object", "type": "string" }, { "name": "beta", "rawType": "object", "type": "unknown" }, { "name": "cost", 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A chi2 \\\n", "0 [[737.054128804306, -1.3043622666665147e-07, -... ... 0.948276 8.316716 \n", "1 [[136085.73993770732, -0.00532779066788211, -1... ... 0.982456 2.348790 \n", "2 [[7136.139678738724, 0.00010599628777389549, -... ... 0.965517 9.165044 \n", "3 [[402547.19524401793, 1096.6600444660196, -738... ... 0.964912 3.848708 \n", "\n", " p-value(chi2) n k dof \\\n", "0 1.0 58 4 54 \n", "1 1.0 57 4 53 \n", "2 1.0 58 4 54 \n", "3 1.0 57 4 53 \n", "\n", " pars success \\\n", "0 [-40.70878965079805, -7.69257148817208e-09, 15... True \n", "1 [-318.6278029351978, -2.2004338870362006e-05, ... True \n", "2 [-123.99735757219901, 2.2679863303950963e-06, ... True \n", "3 [-450.06791954630313, 2.55857957833586, 14.726... True \n", "\n", " message nit \n", "0 CONVERGENCE: RELATIVE REDUCTION OF F <= FACTR*... 9 \n", "1 CONVERGENCE: RELATIVE REDUCTION OF F <= FACTR*... 12 \n", "2 CONVERGENCE: RELATIVE REDUCTION OF F <= FACTR*... 4 \n", "3 CONVERGENCE: RELATIVE REDUCTION OF F <= FACTR*... 2 \n", "\n", "[4 rows x 27 columns]" ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# defining two-sided confidence intervals\n", "alpha = 0.05 # significance level\n", "probs = [alpha/2, 1 - alpha/2]\n", "\n", "# fits, light L2 regularization, monotonicity constraints\n", "logit = logistic.LogisticPolyRegression(3, mono = True, lam = (0, 1e-6))\n", "\n", "lst = []\n", "for (scale, dataset), g in df_data.groupby(['scale', 'dataset']):\n", " \n", " if verbose: print(f\"Fitting: {scale}, {dataset}\")\n", "\n", " # data associated to scale and dataset\n", " X, Y = g['X'].to_numpy(), g['Y'].to_numpy()\n", "\n", " # fit\n", " res_fit = logit.fit(X, Y, method=\"diff_evol\")\n", " \n", " # calc nllf and beta for fitted pars\n", " res_nllf = logit.get_nllf(X, Y, res_fit['pars'], jac = True)\n", "\n", " # cost and jacobian norm\n", " cost = logit.get_cost(X, Y, res_fit['pars'], jac = True)\n", " \n", " # beta of fitted pars\n", " beta = logit.get_beta(res_fit['pars'])\n", " \n", " # covariance matrix of pars\n", " cov = logit.get_cov(X, Y, res_fit['pars'])\n", " \n", " # standard error of pars\n", " pars_SE = logit.get_SE_pars_normal(cov)\n", "\n", " # CI of params (assuming asymptotic distr of parameters) : Wald approximation\n", " pars_CI = logit.get_pars_quantiles_normal(probs, res_fit['pars'], cov)\n", " \n", " # goodness of fit\n", " res_gof = logit.goodness_of_fit(X, Y, res_fit['pars'])\n", "\n", " lst.append(\n", " {\"scale\": scale, \"dataset\": dataset, \"beta\": beta} | \n", " {\"cost\": cost[0], \"cost_jac\": cost[1], \"|cost_jac|\": np.linalg.norm(cost[1])} |\n", " {\"nllf\": res_nllf[0], \"nllf_jac\": res_nllf[1], \"|nllf_jac|\": np.linalg.norm(res_nllf[1])} | \n", " {\"cov\": cov, \"cov_evals\": np.linalg.eigvals(cov)} |\n", " {\"SE\": pars_SE, \"LCL\": pars_CI[0], \"UCL\": pars_CI[1]} |\n", " res_gof |res_fit)\n", "\n", "df_fit = pd.DataFrame(lst)\n", "df_fit" ] }, { "cell_type": "markdown", "id": "6aa65982", "metadata": {}, "source": [ "## Checking stuff" ] }, { "cell_type": "markdown", "id": "2851e6d3", "metadata": {}, "source": [ "Problem: The entries in covariance matrices are quite large.." ] }, { "cell_type": "code", "execution_count": 7, "id": "9de8d697", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Checking: log, FULL\n", "Cost jacobian:\n" ] }, { "data": { "application/vnd.microsoft.datawrangler.viewer.v0+json": { "columns": [ { "name": "index", "rawType": "object", "type": "string" }, { "name": "0", "rawType": "float64", "type": "float" }, { "name": "1", "rawType": "float64", "type": "float" }, { "name": "2", "rawType": "float64", "type": "float" }, { "name": "3", "rawType": "float64", "type": "float" } ], "ref": "a663a9de-02ac-4508-8226-1e298dc07149", "rows": [ [ "cost_jac", "6.06691568985347e-10", "-1.8944835535187425e-09", "2.806149644547567e-09", "-1.4416451660107053e-09" ], [ "gradient", "6.064055210345956e-10", "-1.8943896025467075e-09", "2.8057715083664087e-09", "-1.4486377940383644e-09" ] ], "shape": { "columns": 4, "rows": 2 } }, "text/html": [ "
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nd.Gradient(cost_fun)(pars)}).T)\n", "\n", " print(\"nllf jacobian:\")\n", " nllf_fun = lambda p: logit.get_nllf(X, Y, p, jac = False)\n", " display(pd.DataFrame({'nllf_jac': res_fit['nllf_jac'], 'gradient': nd.Gradient(nllf_fun)(pars)}).T)\n", "\n", " numH = nd.Hessian(cost_fun)(pars)\n", " directH = logit.get_cost_hessian(X, Y, pars)\n", " print(\"num hess:\")\n", " display(pd.DataFrame(numH))\n", " print(\"direct hess:\")\n", " display(pd.DataFrame(directH))\n", "\n", " print('cov via directH:') \n", " display(pd.DataFrame(res_fit['cov']))\n", " print('inv_hess cost:')\n", " display(pd.DataFrame(np.linalg.pinv(numH)))\n", "\n", " print('eigenvalues directH:') \n", " display(pd.DataFrame(np.linalg.eigvals(directH)))\n", " print('eigenvalues numH:')\n", " display(pd.DataFrame(np.linalg.eigvals(numH)))\n", "\n", " print(\"cond directH:\", np.linalg.cond(directH))\n", " print(\"cond numH:\", np.linalg.cond(numH))\n", "\n", " print(\"difference between hessians:\")\n", " display(pd.DataFrame(directH - numH))" ] }, { "cell_type": "code", "execution_count": 8, "id": "2ee2f6e0", "metadata": {}, "outputs": [ { "data": { "image/png": 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "df_cost_plot = reporting.build_cost_perturbation_data(\n", " df_data=df_data,\n", " df_fit=df_fit,\n", " lg=logit,\n", " scale=\"log\",\n", " perturb_min=-200,\n", " perturb_max=200,\n", " n_grid=400,\n", " verbose=verbose,\n", ")\n", "\n", "reporting.plot_cost_perturbation_from_dataframe(\n", " df_cost_plot=df_cost_plot,\n", " results_path=results_path,\n", " filename=\"logit_cost_min_paper.pdf\",\n", " verbose=verbose,\n", " width=width,\n", " height=height,\n", ")" ] }, { "cell_type": "markdown", "id": "e4070360", "metadata": {}, "source": [ "## Show fit results " ] }, { "cell_type": "code", "execution_count": 9, "id": "9e51e07c", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Index(['scale', 'dataset', 'beta', 'cost', 'cost_jac', '|cost_jac|', 'nllf',\n", " 'nllf_jac', '|nllf_jac|', 'cov', 'cov_evals', 'SE', 'LCL', 'UCL', 'LLF',\n", " 'AIC', 'BIC', 'A', 'chi2', 'p-value(chi2)', 'n', 'k', 'dof', 'pars',\n", " 'success', 'message', 'nit'],\n", " dtype='object')" ] }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df_fit.columns" ] }, { "cell_type": "code", "execution_count": 10, "id": "1a0a518b", "metadata": {}, "outputs": [ { "data": { "application/vnd.microsoft.datawrangler.viewer.v0+json": { "columns": [ { "name": "index", "rawType": "int64", "type": "integer" }, { "name": "scale", "rawType": "object", "type": "string" }, { "name": "dataset", "rawType": "object", "type": "string" }, { "name": "AIC", "rawType": "float64", "type": "float" }, { "name": "BIC", "rawType": "float64", "type": "float" }, { "name": "A", "rawType": "float64", "type": "float" }, { "name": "n", "rawType": "int64", "type": "integer" }, { "name": "k", "rawType": "int64", "type": "integer" }, { "name": "|cost_jac|", "rawType": "float64", "type": "float" }, { "name": "dof", "rawType": "int64", "type": "integer" }, { "name": "cost", "rawType": "float64", "type": "float" }, { "name": "chi2", "rawType": "float64", "type": "float" }, { "name": "p-value(chi2)", "rawType": "float64", "type": "float" }, { "name": "success", "rawType": "bool", "type": "boolean" } ], "ref": "309aace6-bb9a-4b97-9117-1844d47e08d6", "rows": [ [ "0", "log", "FULL", "17.20594043564705", "25.447712477832727", "0.9482758620689655", "58", "4", "3.729605770950514e-09", "54", "4.60500749717171", "8.316716063244991", "0.9999999999999134", "True" ], [ "1", "log", "TRIM", "11.184549294493914", "19.356754365832117", "0.9824561403508771", "57", "4", "1.9588355156636143e-06", "53", "1.7008095127100813", "2.3487898553978814", "1.0", "True" ], [ "2", "plain", "FULL", "17.53299850631265", "25.774770548498328", "0.9655172413793104", "58", "4", "1.4991203397309087e-06", "54", "4.782069566897153", "9.165043982413161", "0.9999999999992062", "True" ], [ "3", "plain", "TRIM", "12.554271810583773", "20.726476881921975", "0.9649122807017544", "57", "4", "1.4137678957844635e-05", "53", "2.480641733973116", "3.8487078567179185", "1.0", "True" ] ], "shape": { "columns": 13, "rows": 4 } }, "text/html": [ "
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" ], "text/plain": [ " scale dataset AIC BIC A n k |cost_jac| dof \\\n", "0 log FULL 17.205940 25.447712 0.948276 58 4 3.729606e-09 54 \n", "1 log TRIM 11.184549 19.356754 0.982456 57 4 1.958836e-06 53 \n", "2 plain FULL 17.532999 25.774771 0.965517 58 4 1.499120e-06 54 \n", "3 plain TRIM 12.554272 20.726477 0.964912 57 4 1.413768e-05 53 \n", "\n", " cost chi2 p-value(chi2) success \n", "0 4.605007 8.316716 1.0 True \n", "1 1.700810 2.348790 1.0 True \n", "2 4.782070 9.165044 1.0 True \n", "3 2.480642 3.848708 1.0 True " ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# goodness of fit measures\n", "df_fit[['scale', 'dataset', 'AIC', 'BIC', 'A', 'n', 'k', '|cost_jac|', 'dof', 'cost','chi2', \"p-value(chi2)\", 'success']]" ] }, { "cell_type": "code", "execution_count": 11, "id": "96acc3ab", "metadata": {}, "outputs": [ { "data": { "application/vnd.microsoft.datawrangler.viewer.v0+json": { "columns": [ { "name": "index", "rawType": "int64", "type": "integer" }, { "name": "scale", "rawType": "object", "type": "string" }, { "name": "dataset", "rawType": "object", "type": "string" }, { "name": "idx", "rawType": "object", "type": "unknown" }, { "name": "beta", "rawType": "object", "type": "unknown" }, { "name": "pars", "rawType": "object", "type": "unknown" }, { "name": "SE", "rawType": "object", "type": "unknown" }, { "name": "LCL", "rawType": "object", "type": "unknown" }, { "name": "UCL", "rawType": "object", "type": "unknown" } ], "ref": "8008e1e4-c39d-4534-ab01-3a2d3d15bd93", "rows": [ [ "0", "log", "FULL", "0", "-40.70878965079805", "-40.70878965079805", "27.14874083275882", "-93.91934390861731", "12.501764607021187" ], [ "1", "log", "FULL", "1", "152.89575290403673", "-7.69257148817208e-09", "2.015070990040282", "-3.9494665744629947", "3.949466559077851" ], [ "2", "log", "FULL", "2", "-186.3720943099064", "15.072426495005567", "7.722613314958925", "-0.06361746884340569", "30.208470458854535" ], [ "3", "log", "FULL", "3", "75.72601348244861", "-12.365102219716452", "4.742506019199433", "-21.660243213811764", "-3.0699612256211406" ], [ "4", "log", "TRIM", "0", "-318.6278029351978", "-318.6278029351978", "368.89800750032157", "-1041.654611604415", "404.39900573401917" ], [ "5", "log", "TRIM", "1", "1693.4625834806202", "-2.2004338870362006e-05", "4.519619505493637", "-8.858313458931129", "8.858269450253387" ], [ "6", "log", "TRIM", "2", "-3000.8948897728706", "72.92274046092913", "49.736234496626054", "-24.558487879096575", "170.40396880095483" ], [ "7", "log", "TRIM", "3", "1772.5753587773436", "-41.15170207269848", "25.167774379583047", "-90.47963342771116", "8.176229282314196" ], [ "8", "plain", "FULL", "0", "-123.99735757219901", "-123.99735757219901", "84.47567507122227", "-289.5666382815027", "41.571923137104704" ], [ "9", "plain", "FULL", "1", "163.80117642114854", "2.2679863303950963e-06", "1.3204696142897852", "-2.588070618701146", "2.588075154673806" ], [ "10", "plain", "FULL", "2", "-71.45162931439047", "5.582820032787161", "2.5706672416064835", "0.5444048230015266", "10.621235242572794" ], [ "11", "plain", "FULL", "3", "10.38929317282988", "-12.798483364099958", "4.8244331125409365", "-22.25419851050267", "-3.34276821769725" ], [ "12", "plain", "TRIM", "0", "-450.06791954630313", "-450.06791954630313", "634.4660709951462", "-1693.598568109423", "793.4627290168164" ], [ "13", "plain", "TRIM", "1", "727.8129596846884", "2.55857957833586", "2.3540723794847116", "-2.055317502454683", "7.172476659126402" ], [ "14", "plain", "TRIM", "2", "-395.5133920856394", "14.726965634752819", "11.787522835479116", "-8.376154589729712", "37.83008585923534" ], [ "15", "plain", "TRIM", "3", "72.29450560239682", "-26.856407619523708", "20.37160765010872", "-66.78402492091746", "13.07120968187003" ] ], "shape": { "columns": 8, "rows": 16 } }, "text/html": [ "
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scaledatasetidxbetaparsSELCLUCL
0logFULL0-40.70879-40.7087927.148741-93.91934412.501765
1logFULL1152.895753-0.02.015071-3.9494673.949467
2logFULL2-186.37209415.0724267.722613-0.06361730.20847
3logFULL375.726013-12.3651024.742506-21.660243-3.069961
4logTRIM0-318.627803-318.627803368.898008-1041.654612404.399006
5logTRIM11693.462583-0.0000224.51962-8.8583138.858269
6logTRIM2-3000.8948972.9227449.736234-24.558488170.403969
7logTRIM31772.575359-41.15170225.167774-90.4796338.176229
8plainFULL0-123.997358-123.99735884.475675-289.56663841.571923
9plainFULL1163.8011760.0000021.32047-2.5880712.588075
10plainFULL2-71.4516295.582822.5706670.54440510.621235
11plainFULL310.389293-12.7984834.824433-22.254199-3.342768
12plainTRIM0-450.06792-450.06792634.466071-1693.598568793.462729
13plainTRIM1727.812962.558582.354072-2.0553187.172477
14plainTRIM2-395.51339214.72696611.787523-8.37615537.830086
15plainTRIM372.294506-26.85640820.371608-66.78402513.07121
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" ], "text/plain": [ " scale dataset idx beta pars SE LCL \\\n", "0 log FULL 0 -40.70879 -40.70879 27.148741 -93.919344 \n", "1 log FULL 1 152.895753 -0.0 2.015071 -3.949467 \n", "2 log FULL 2 -186.372094 15.072426 7.722613 -0.063617 \n", "3 log FULL 3 75.726013 -12.365102 4.742506 -21.660243 \n", "4 log TRIM 0 -318.627803 -318.627803 368.898008 -1041.654612 \n", "5 log TRIM 1 1693.462583 -0.000022 4.51962 -8.858313 \n", "6 log TRIM 2 -3000.89489 72.92274 49.736234 -24.558488 \n", "7 log TRIM 3 1772.575359 -41.151702 25.167774 -90.479633 \n", "8 plain FULL 0 -123.997358 -123.997358 84.475675 -289.566638 \n", "9 plain FULL 1 163.801176 0.000002 1.32047 -2.588071 \n", "10 plain FULL 2 -71.451629 5.58282 2.570667 0.544405 \n", "11 plain FULL 3 10.389293 -12.798483 4.824433 -22.254199 \n", "12 plain TRIM 0 -450.06792 -450.06792 634.466071 -1693.598568 \n", "13 plain TRIM 1 727.81296 2.55858 2.354072 -2.055318 \n", "14 plain TRIM 2 -395.513392 14.726966 11.787523 -8.376155 \n", "15 plain TRIM 3 72.294506 -26.856408 20.371608 -66.784025 \n", "\n", " UCL \n", "0 12.501765 \n", "1 3.949467 \n", "2 30.20847 \n", "3 -3.069961 \n", "4 404.399006 \n", "5 8.858269 \n", "6 170.403969 \n", "7 8.176229 \n", "8 41.571923 \n", "9 2.588075 \n", "10 10.621235 \n", "11 -3.342768 \n", "12 793.462729 \n", "13 7.172477 \n", "14 37.830086 \n", "15 13.07121 " ] }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# table of parameters and their CI (Wald approximation)\n", "df_pars = df_fit[[\"scale\", \"dataset\", \"beta\", \"pars\", \"SE\", \"LCL\", \"UCL\"]].copy()\n", "\n", "# add index column for exploding\n", "indices = df_pars[\"pars\"].apply(lambda x: list(range(len(x))))\n", "df_pars.insert(2, \"idx\", indices)\n", "\n", "# convert to long format by exploding the pars, SE, LCL, UCL, beta columns\n", "cols = [\"idx\", \"beta\", \"pars\", \"SE\", \"LCL\", \"UCL\"]\n", "df_pars_long = df_pars.explode(cols, ignore_index=True)\n", "df_pars_long" ] }, { "cell_type": "code", "execution_count": 12, "id": "5f940ec5", "metadata": {}, "outputs": [ { "data": { "image/png": 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# x axis labels for plots\n", "xlabs = {\"plain\": r\"$X$\", \"log\": r\"$\\log(X)$\"}\n", "\n", "# set index for easier access to fit parameters\n", "df_fit_index = df_fit.set_index([\"scale\", \"dataset\"])\n", "\n", "df_points, df_fit_plot = reporting.build_plot_data_basic(\n", " df_data=df_data,\n", " df_fit_index=df_fit_index,\n", " lg=logit,\n", " n_grid=100,\n", " verbose=verbose,\n", ")\n", "\n", "reporting.plot_from_dataframes_basic(\n", " df_points=df_points,\n", " df_fit_plot=df_fit_plot,\n", " xlabs=xlabs,\n", " results_path=results_path,\n", " filename=\"logit_fit_paper.pdf\",\n", " width=width,\n", " height=height,\n", " jitter_y=0.02,\n", " alpha_full=0.50,\n", " alpha_trim=0.50,\n", " plot_labs={\"log\": \"C\", \"plain\": \"D\"}\n", ")" ] }, { "cell_type": "code", "execution_count": 13, "id": "3c493876", "metadata": {}, "outputs": [ { "data": { "application/vnd.microsoft.datawrangler.viewer.v0+json": { "columns": [ { "name": "index", "rawType": "int64", "type": "integer" }, { "name": "0", "rawType": "float64", "type": "float" }, { "name": "1", "rawType": "float64", "type": "float" }, { "name": "2", "rawType": "float64", "type": "float" }, { "name": "3", "rawType": "float64", "type": "float" } ], "ref": "69a2e7e1-a331-4f13-ac65-031ec946cb35", "rows": [ [ "0", "402547.19524401793", "1096.6600444660196", "-7382.517461327826", "12906.295933905008" ], [ "1", "1096.6600444513977", "5.541656767852813", "-19.486310500409555", "35.2460734330113" ], [ "2", "-7382.517461725317", "-19.486310501760354", "138.94569459694162", "-238.69663413448987" ], [ "3", "12906.295934138843", "35.24607343411699", "-238.69663412603413", "415.0023982499682" ] ], "shape": { "columns": 4, "rows": 4 } }, "text/html": [ "
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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "#\n", "# plotting data and fits + simple confidence intervals\n", "#\n", "\n", "alpha = 0.05\n", "\n", "df_points, df_fit_plot, df_ci_plot = reporting.build_plot_data(\n", " df_data=df_data,\n", " df_fit_index=df_fit_index,\n", " alpha=alpha,\n", " lg=logit,\n", " n_grid=100,\n", " verbose=verbose,\n", ")\n", "\n", "reporting.plot_from_dataframes(\n", " df_points=df_points,\n", " df_fit_plot=df_fit_plot,\n", " df_ci_plot=df_ci_plot,\n", " xlabs=xlabs,\n", " results_path=results_path,\n", " filename=\"logit_fit_CI_simple_paper.pdf\",\n", " verbose=verbose,\n", " width=width,\n", " height=height,\n", ")" ] }, { "cell_type": "markdown", "id": "67fa2c6c", "metadata": {}, "source": [ "## Model CI" ] }, { "cell_type": "code", "execution_count": 16, "id": "e14807ae", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Bootstrap parameters: log, FULL\n", "\tmethod: normal\n", "\tmethod: nonparam_boots\n", "\tmethod: nonparam_stratified_boots\n", "\tmethod: parametric_boots\n", "Bootstrap parameters: log, TRIM\n", "\tmethod: normal\n", "\tmethod: nonparam_boots\n", "\tmethod: nonparam_stratified_boots\n", "\tmethod: parametric_boots\n", "Bootstrap parameters: plain, FULL\n", "\tmethod: normal\n", "\tmethod: nonparam_boots\n", "\tmethod: nonparam_stratified_boots\n", "\tmethod: parametric_boots\n", "Bootstrap parameters: plain, TRIM\n", "\tmethod: normal\n", "\tmethod: nonparam_boots\n", "\tmethod: nonparam_stratified_boots\n", "\tmethod: parametric_boots\n" ] } ], "source": [ "alpha = 0.05\n", "\n", "#\n", "# prepare boostrapped parameters\n", "#\n", "boots_pars_results = reporting.load_or_build_bootstrap_pars(\n", " df_data=df_data,\n", " lg=logit,\n", " results_path=results_path,\n", " filename=\"boots_pars_results.pkl\",\n", " n_boots=10000,\n", " methods=(\"normal\", \"nonparam_boots\", \"nonparam_stratified_boots\", \"parametric_boots\"),\n", " verbose=True,\n", ")" ] }, { "cell_type": "code", "execution_count": 17, "id": "a4e59847", "metadata": {}, "outputs": [], "source": [ "#\n", "# computing set of confidence intervals\n", "#\n", "\n", "df_points, df_fit_plot, df_ci_plot = reporting.build_plot_data_full_ci(\n", " df_data=df_data,\n", " df_fit_index=df_fit_index,\n", " lg=logit,\n", " alpha=alpha,\n", " boots_pars_results=boots_pars_results,\n", " n_grid=100,\n", " analytic_methods=(\"normal\", \"delta\"),\n", " bootstrap_methods=(\"nonparam_boots\", \"parametric_boots\"),\n", " verbose=verbose,\n", ")" ] }, { "cell_type": "code", "execution_count": 18, "id": "966abde9", "metadata": {}, "outputs": [ { "data": { "image/png": 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "#\n", "# plotting data and fits + full set of confidence intervals\n", "#\n", "\n", "reporting.plot_from_dataframes_full_ci(\n", " df_points=df_points,\n", " df_fit_plot=df_fit_plot,\n", " df_ci_plot=df_ci_plot,\n", " xlabs=xlabs,\n", " results_path=results_path,\n", " filename=\"logit_fit_CI_paper.pdf\",\n", " verbose=verbose,\n", " width=width,\n", " height=height,\n", ")" ] }, { "cell_type": "markdown", "id": "5ce16edf", "metadata": {}, "source": [ "## Parameter CI" ] }, { "cell_type": "code", "execution_count": 19, "id": "91a199e8", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Index(['scale', 'dataset', 'idx', 'beta', 'pars', 'SE', 'LCL', 'UCL'], dtype='object')" ] }, "execution_count": 19, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df_pars.columns" ] }, { "cell_type": "code", "execution_count": 20, "id": "18dce684", "metadata": {}, "outputs": [ { "data": { 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scaledatasetidxbetaparsSELCL[Wald]UCL[Wald]LCL[normal]UCL[normal]LCL[nonparam_boots]UCL[nonparam_boots]LCL[nonparam_stratified_boots]UCL[nonparam_stratified_boots]LCL[parametric_boots]UCL[parametric_boots]
0logFULL[0, 1, 2, 3][-40.70878965079805, 152.89575290403673, -186....[-40.70878965079805, -7.69257148817208e-09, 15...[27.14874083275882, 2.015070990040282, 7.72261...[-93.91934390861731, -3.9494665744629947, -0.0...[12.501764607021187, 3.949466559077851, 30.208...[-93.56338566052526, -3.9417576054156753, -0.4...[14.367493031578993, 3.915599342574543, 30.275...[-362.3418986772154, -1.2949692152748325e-05, ...[-14.457646430958098, 1.3701590772882096e-05, ...[-369.35112799570214, -1.1407057756070862e-05,...[-14.205808684448709, 1.2099347078543717e-05, ...[-310.97179686469656, -0.00022031918968224803,...[-8.945695488818114, 0.00024100793866809866, 4...
1logTRIM[0, 1, 2, 3][-318.6278029351978, 1693.4625834806202, -3000...[-318.6278029351978, -2.2004338870362006e-05, ...[368.89800750032157, 4.519619505493637, 49.736...[-1041.654611604415, -8.858313458931129, -24.5...[404.39900573401917, 8.858269450253387, 170.40...[-1037.1178902262666, -8.782375841858084, -170...[429.50160775357654, 8.841048052798355, 27.788...[-400.12882726816684, -0.0002524284593495639, ...[-17.348308602211493, 0.00023446622013524818, ...[-399.0792523977072, -0.00023101563118095082, ...[-17.585934445046078, 0.0002385146247747581, 3...[-388.5011469095082, -0.0005018771370653443, -...[-23.345353280554388, 1.0302791728371788e-05, ...
2plainFULL[0, 1, 2, 3][-123.99735757219901, 163.80117642114854, -71....[-123.99735757219901, 2.2679863303950963e-06, ...[84.47567507122227, 1.3204696142897852, 2.5706...[-289.5666382815027, -2.588070618701146, 0.544...[41.571923137104704, 2.588075154673806, 10.621...[-288.56704060415143, -2.619963889107093, 0.41...[47.25338774570906, 2.5430685845750802, 10.624...[-662.077284728864, -2.42017933708336, -11.027...[-20.9316993950732, 0.0003871658766217858, 17....[-647.740989994033, -2.530518347267342, -11.03...[-21.412504234536605, 0.21072214516873888, 17....[-519.9185959807692, -2.558558838295493, -17.2...[-14.267927545473208, 0.017587628573496706, 14...
3plainTRIM[0, 1, 2, 3][-450.06791954630313, 727.8129596846884, -395....[-450.06791954630313, 2.55857957833586, 14.726...[634.4660709951462, 2.3540723794847116, 11.787...[-1693.598568109423, -2.055317502454683, -8.37...[793.4627290168164, 7.172476659126402, 37.8300...[-1686.3171567888987, -7.268098437248225, -8.9...[836.14086270314, 2.0772792401168543, 37.78715...[-737.8071076084143, -2.6752723009709767, -11....[-20.618997387303175, 1.0414475197170188e-05, ...[-715.5793634938929, -2.7101517511956494, -11....[-21.029662601238073, 1.2555851299669547e-05, ...[-543.4648107758051, -3.9222631096295584, -10....[-30.30604349087134, 2.8252548019394228e-06, 1...
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" ], "text/plain": [ " scale dataset idx \\\n", "0 log FULL [0, 1, 2, 3] \n", "1 log TRIM [0, 1, 2, 3] \n", "2 plain FULL [0, 1, 2, 3] \n", "3 plain TRIM [0, 1, 2, 3] \n", "\n", " beta \\\n", "0 [-40.70878965079805, 152.89575290403673, -186.... \n", "1 [-318.6278029351978, 1693.4625834806202, -3000... \n", "2 [-123.99735757219901, 163.80117642114854, -71.... \n", "3 [-450.06791954630313, 727.8129596846884, -395.... \n", "\n", " pars \\\n", "0 [-40.70878965079805, -7.69257148817208e-09, 15... \n", "1 [-318.6278029351978, -2.2004338870362006e-05, ... \n", "2 [-123.99735757219901, 2.2679863303950963e-06, ... \n", "3 [-450.06791954630313, 2.55857957833586, 14.726... \n", "\n", " SE \\\n", "0 [27.14874083275882, 2.015070990040282, 7.72261... \n", "1 [368.89800750032157, 4.519619505493637, 49.736... \n", "2 [84.47567507122227, 1.3204696142897852, 2.5706... \n", "3 [634.4660709951462, 2.3540723794847116, 11.787... \n", "\n", " LCL[Wald] \\\n", "0 [-93.91934390861731, -3.9494665744629947, -0.0... \n", "1 [-1041.654611604415, -8.858313458931129, -24.5... \n", "2 [-289.5666382815027, -2.588070618701146, 0.544... \n", "3 [-1693.598568109423, -2.055317502454683, -8.37... \n", "\n", " UCL[Wald] \\\n", "0 [12.501764607021187, 3.949466559077851, 30.208... \n", "1 [404.39900573401917, 8.858269450253387, 170.40... \n", "2 [41.571923137104704, 2.588075154673806, 10.621... \n", "3 [793.4627290168164, 7.172476659126402, 37.8300... \n", "\n", " LCL[normal] \\\n", "0 [-93.56338566052526, -3.9417576054156753, -0.4... \n", "1 [-1037.1178902262666, -8.782375841858084, -170... \n", "2 [-288.56704060415143, -2.619963889107093, 0.41... \n", "3 [-1686.3171567888987, -7.268098437248225, -8.9... \n", "\n", " UCL[normal] \\\n", "0 [14.367493031578993, 3.915599342574543, 30.275... \n", "1 [429.50160775357654, 8.841048052798355, 27.788... \n", "2 [47.25338774570906, 2.5430685845750802, 10.624... \n", "3 [836.14086270314, 2.0772792401168543, 37.78715... \n", "\n", " LCL[nonparam_boots] \\\n", "0 [-362.3418986772154, -1.2949692152748325e-05, ... \n", "1 [-400.12882726816684, -0.0002524284593495639, ... \n", "2 [-662.077284728864, -2.42017933708336, -11.027... \n", "3 [-737.8071076084143, -2.6752723009709767, -11.... \n", "\n", " UCL[nonparam_boots] \\\n", "0 [-14.457646430958098, 1.3701590772882096e-05, ... \n", "1 [-17.348308602211493, 0.00023446622013524818, ... \n", "2 [-20.9316993950732, 0.0003871658766217858, 17.... \n", "3 [-20.618997387303175, 1.0414475197170188e-05, ... \n", "\n", " LCL[nonparam_stratified_boots] \\\n", "0 [-369.35112799570214, -1.1407057756070862e-05,... \n", "1 [-399.0792523977072, -0.00023101563118095082, ... \n", "2 [-647.740989994033, -2.530518347267342, -11.03... \n", "3 [-715.5793634938929, -2.7101517511956494, -11.... \n", "\n", " UCL[nonparam_stratified_boots] \\\n", "0 [-14.205808684448709, 1.2099347078543717e-05, ... \n", "1 [-17.585934445046078, 0.0002385146247747581, 3... \n", "2 [-21.412504234536605, 0.21072214516873888, 17.... \n", "3 [-21.029662601238073, 1.2555851299669547e-05, ... \n", "\n", " LCL[parametric_boots] \\\n", "0 [-310.97179686469656, -0.00022031918968224803,... \n", "1 [-388.5011469095082, -0.0005018771370653443, -... \n", "2 [-519.9185959807692, -2.558558838295493, -17.2... \n", "3 [-543.4648107758051, -3.9222631096295584, -10.... \n", "\n", " UCL[parametric_boots] \n", "0 [-8.945695488818114, 0.00024100793866809866, 4... \n", "1 [-23.345353280554388, 1.0302791728371788e-05, ... \n", "2 [-14.267927545473208, 0.017587628573496706, 14... \n", "3 [-30.30604349087134, 2.8252548019394228e-06, 1... " ] }, "execution_count": 20, "metadata": {}, "output_type": "execute_result" } ], "source": [ "dt_res = dict()\n", "for (scale, dataset), _ in df_data.groupby(['scale', 'dataset']):\n", " \n", " if verbose: print(f\"Data: {scale}, {dataset}\")\n", "\n", " # plot quantiles of models at bootstapped parameters\n", " for method in [\"normal\", \"nonparam_boots\", \"nonparam_stratified_boots\", \"parametric_boots\"]:\n", " \n", " if verbose: print(f\"\\tmodel CI: scale:{scale}, dataset:{dataset}, method:{method}\")\n", "\n", " # get boostrapped parameters\n", " bpars = boots_pars_results[(scale, dataset, method)]\n", " \n", " # quantiles\n", " quant = np.quantile(bpars, probs, axis = 0)\n", " \n", " if (scale, dataset) not in dt_res: dt_res[(scale, dataset)] = dict()\n", " for lab, q in zip([\"LCL\", \"UCL\"], quant):\n", " dt_res[(scale, dataset)][f\"{lab}[{method}]\"] = q\n", "\n", "\n", "# Joining results of bootstrapped pars quantiles with Wald CI of pars\n", "if verbose: print(f\"pars CI: scale:{scales}, dateset:{datasets}, method:Wald/delta\")\n", "\n", "method = \"Wald\"\n", "df_pars_CI_wald = df_pars.rename(columns={\"LCL\": f\"LCL[{method}]\", \"UCL\": f\"UCL[{method}]\"})\n", "df_pars_CI_wald = df_pars_CI_wald.set_index([\"scale\", \"dataset\"])\n", "\n", "df_res_CI_other = pd.DataFrame(dt_res).T\n", "df_res_CI_other.index.names = ['scale', 'dataset']\n", "\n", "df_pars_CI = df_pars_CI_wald.join(df_res_CI_other)\n", "df_pars_CI.reset_index(inplace=True)\n", "df_pars_CI" ] }, { "cell_type": "code", "execution_count": 21, "id": "e76c0167", "metadata": {}, "outputs": [ { "data": { "application/vnd.microsoft.datawrangler.viewer.v0+json": { "columns": [ { "name": "index", "rawType": "int64", "type": "integer" }, { "name": "scale", "rawType": "object", "type": "string" }, { "name": "dataset", "rawType": "object", "type": "string" }, { "name": "idx", "rawType": "object", "type": "unknown" }, { "name": "beta", "rawType": "object", "type": "unknown" }, { "name": "pars", 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scaledatasetidxbetaparsSELCL[Wald]UCL[Wald]LCL[normal]UCL[normal]LCL[nonparam_boots]UCL[nonparam_boots]LCL[nonparam_stratified_boots]UCL[nonparam_stratified_boots]LCL[parametric_boots]UCL[parametric_boots]
0logFULL0-40.70879-40.7087927.148741-93.91934412.501765-93.56338614.367493-362.341899-14.457646-369.351128-14.205809-310.971797-8.945695
1logFULL1152.895753-0.02.015071-3.9494673.949467-3.9417583.915599-0.0000130.000014-0.0000110.000012-0.000220.000241
2logFULL2-186.37209415.0724267.722613-0.06361730.20847-0.44482330.27532-35.74117378.600834-35.75099479.271857-74.06005148.619996
3logFULL375.726013-12.3651024.742506-21.660243-3.069961-21.647918-2.748287-44.0629992.279963-44.4999632.280283-34.97653117.689025
4logTRIM0-318.627803-318.627803368.898008-1041.654612404.399006-1037.11789429.501608-400.128827-17.348309-399.079252-17.585934-388.501147-23.345353
5logTRIM11693.462583-0.0000224.51962-8.8583138.858269-8.7823768.841048-0.0002520.000234-0.0002310.000239-0.0005020.00001
6logTRIM2-3000.8948972.9227449.736234-24.558488170.403969-170.2141827.788551-82.18140436.533438-82.02975236.475705-105.31595435.116438
7logTRIM31772.575359-41.15170225.167774-90.4796338.176229-9.97748290.374454-1.52607446.222108-1.51830146.153623-3.26062549.627883
8plainFULL0-123.997358-123.99735884.475675-289.56663841.571923-288.56704147.253388-662.077285-20.931699-647.74099-21.412504-519.918596-14.267928
9plainFULL1163.8011760.0000021.32047-2.5880712.588075-2.6199642.543069-2.4201790.000387-2.5305180.210722-2.5585590.017588
10plainFULL2-71.4516295.582822.5706670.54440510.6212350.4158910.624566-11.0278217.81766-11.03486817.537221-17.29443814.727337
11plainFULL310.389293-12.7984834.824433-22.254199-3.342768-22.243914-3.030966-32.8388015.789172-32.4366395.80169-28.08348926.411133
12plainTRIM0-450.06792-450.06792634.466071-1693.598568793.462729-1686.317157836.140863-737.807108-20.618997-715.579363-21.029663-543.464811-30.306043
13plainTRIM1727.812962.558582.354072-2.0553187.172477-7.2680982.077279-2.6752720.00001-2.7101520.000013-3.9222630.000003
14plainTRIM2-395.51339214.72696611.787523-8.37615537.830086-8.97537537.787152-11.14335219.496428-11.12269819.122665-10.77339518.058431
15plainTRIM372.294506-26.85640820.371608-66.78402513.07121-66.56341914.496883-35.0515785.858238-34.49655.851761-30.7609685.677179
\n", "
" ], "text/plain": [ " scale dataset idx beta pars SE LCL[Wald] \\\n", "0 log FULL 0 -40.70879 -40.70879 27.148741 -93.919344 \n", "1 log FULL 1 152.895753 -0.0 2.015071 -3.949467 \n", "2 log FULL 2 -186.372094 15.072426 7.722613 -0.063617 \n", "3 log FULL 3 75.726013 -12.365102 4.742506 -21.660243 \n", "4 log TRIM 0 -318.627803 -318.627803 368.898008 -1041.654612 \n", "5 log TRIM 1 1693.462583 -0.000022 4.51962 -8.858313 \n", "6 log TRIM 2 -3000.89489 72.92274 49.736234 -24.558488 \n", "7 log TRIM 3 1772.575359 -41.151702 25.167774 -90.479633 \n", "8 plain FULL 0 -123.997358 -123.997358 84.475675 -289.566638 \n", "9 plain FULL 1 163.801176 0.000002 1.32047 -2.588071 \n", "10 plain FULL 2 -71.451629 5.58282 2.570667 0.544405 \n", "11 plain FULL 3 10.389293 -12.798483 4.824433 -22.254199 \n", "12 plain TRIM 0 -450.06792 -450.06792 634.466071 -1693.598568 \n", "13 plain TRIM 1 727.81296 2.55858 2.354072 -2.055318 \n", "14 plain TRIM 2 -395.513392 14.726966 11.787523 -8.376155 \n", "15 plain TRIM 3 72.294506 -26.856408 20.371608 -66.784025 \n", "\n", " UCL[Wald] LCL[normal] UCL[normal] LCL[nonparam_boots] \\\n", "0 12.501765 -93.563386 14.367493 -362.341899 \n", "1 3.949467 -3.941758 3.915599 -0.000013 \n", "2 30.20847 -0.444823 30.27532 -35.741173 \n", "3 -3.069961 -21.647918 -2.748287 -44.062999 \n", "4 404.399006 -1037.11789 429.501608 -400.128827 \n", "5 8.858269 -8.782376 8.841048 -0.000252 \n", "6 170.403969 -170.21418 27.788551 -82.181404 \n", "7 8.176229 -9.977482 90.374454 -1.526074 \n", "8 41.571923 -288.567041 47.253388 -662.077285 \n", "9 2.588075 -2.619964 2.543069 -2.420179 \n", "10 10.621235 0.41589 10.624566 -11.02782 \n", "11 -3.342768 -22.243914 -3.030966 -32.838801 \n", "12 793.462729 -1686.317157 836.140863 -737.807108 \n", "13 7.172477 -7.268098 2.077279 -2.675272 \n", "14 37.830086 -8.975375 37.787152 -11.143352 \n", "15 13.07121 -66.563419 14.496883 -35.051578 \n", "\n", " UCL[nonparam_boots] LCL[nonparam_stratified_boots] \\\n", "0 -14.457646 -369.351128 \n", "1 0.000014 -0.000011 \n", "2 78.600834 -35.750994 \n", "3 2.279963 -44.499963 \n", "4 -17.348309 -399.079252 \n", "5 0.000234 -0.000231 \n", "6 36.533438 -82.029752 \n", "7 46.222108 -1.518301 \n", "8 -20.931699 -647.74099 \n", "9 0.000387 -2.530518 \n", "10 17.81766 -11.034868 \n", "11 5.789172 -32.436639 \n", "12 -20.618997 -715.579363 \n", "13 0.00001 -2.710152 \n", "14 19.496428 -11.122698 \n", "15 5.858238 -34.4965 \n", "\n", " UCL[nonparam_stratified_boots] LCL[parametric_boots] UCL[parametric_boots] \n", "0 -14.205809 -310.971797 -8.945695 \n", "1 0.000012 -0.00022 0.000241 \n", "2 79.271857 -74.060051 48.619996 \n", "3 2.280283 -34.976531 17.689025 \n", "4 -17.585934 -388.501147 -23.345353 \n", "5 0.000239 -0.000502 0.00001 \n", "6 36.475705 -105.315954 35.116438 \n", "7 46.153623 -3.260625 49.627883 \n", "8 -21.412504 -519.918596 -14.267928 \n", "9 0.210722 -2.558559 0.017588 \n", "10 17.537221 -17.294438 14.727337 \n", "11 5.80169 -28.083489 26.411133 \n", "12 -21.029663 -543.464811 -30.306043 \n", "13 0.000013 -3.922263 0.000003 \n", "14 19.122665 -10.773395 18.058431 \n", "15 5.851761 -30.760968 5.677179 " ] }, "execution_count": 21, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# convert to long format by exploding the pars, SE, LCL, UCL, beta columns\n", "cols_CI = df_pars_CI.columns[df_pars_CI.columns.str.startswith((\"LCL\", \"UCL\"))].tolist()\n", "cols = [\"idx\", \"beta\", \"pars\", \"SE\"] + cols_CI\n", "\n", "df_pars_CI_long = df_pars_CI.explode(cols, ignore_index=True)\n", "df_pars_CI_long" ] }, { "cell_type": "code", "execution_count": 22, "id": "4084084d", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\\begin{tabular}{lllllllllllllllll}\n", "\\toprule\n", " & scale & dataset & idx & beta & pars & SE & LCL[Wald] & UCL[Wald] & LCL[normal] & UCL[normal] & LCL[nonparam_boots] & UCL[nonparam_boots] & LCL[nonparam_stratified_boots] & UCL[nonparam_stratified_boots] & LCL[parametric_boots] & UCL[parametric_boots] \\\\\n", "\\midrule\n", "0 & log & FULL & 0 & -40.708790 & -40.708790 & 27.148741 & -93.919344 & 12.501765 & -93.563386 & 14.367493 & -362.341899 & -14.457646 & -369.351128 & -14.205809 & -310.971797 & -8.945695 \\\\\n", "1 & log & FULL & 1 & 152.895753 & -0.000000 & 2.015071 & -3.949467 & 3.949467 & -3.941758 & 3.915599 & -0.000013 & 0.000014 & -0.000011 & 0.000012 & -0.000220 & 0.000241 \\\\\n", "2 & log & FULL & 2 & -186.372094 & 15.072426 & 7.722613 & -0.063617 & 30.208470 & -0.444823 & 30.275320 & -35.741173 & 78.600834 & -35.750994 & 79.271857 & -74.060051 & 48.619996 \\\\\n", "3 & log & FULL & 3 & 75.726013 & -12.365102 & 4.742506 & -21.660243 & -3.069961 & -21.647918 & -2.748287 & -44.062999 & 2.279963 & -44.499963 & 2.280283 & -34.976531 & 17.689025 \\\\\n", "4 & log & TRIM & 0 & -318.627803 & -318.627803 & 368.898008 & -1041.654612 & 404.399006 & -1037.117890 & 429.501608 & -400.128827 & -17.348309 & -399.079252 & -17.585934 & -388.501147 & -23.345353 \\\\\n", "5 & log & TRIM & 1 & 1693.462583 & -0.000022 & 4.519620 & -8.858313 & 8.858269 & -8.782376 & 8.841048 & -0.000252 & 0.000234 & -0.000231 & 0.000239 & -0.000502 & 0.000010 \\\\\n", "6 & log & TRIM & 2 & -3000.894890 & 72.922740 & 49.736234 & -24.558488 & 170.403969 & -170.214180 & 27.788551 & -82.181404 & 36.533438 & -82.029752 & 36.475705 & -105.315954 & 35.116438 \\\\\n", "7 & log & TRIM & 3 & 1772.575359 & -41.151702 & 25.167774 & -90.479633 & 8.176229 & -9.977482 & 90.374454 & -1.526074 & 46.222108 & -1.518301 & 46.153623 & -3.260625 & 49.627883 \\\\\n", "8 & plain & FULL & 0 & -123.997358 & -123.997358 & 84.475675 & -289.566638 & 41.571923 & -288.567041 & 47.253388 & -662.077285 & -20.931699 & -647.740990 & -21.412504 & -519.918596 & -14.267928 \\\\\n", "9 & plain & FULL & 1 & 163.801176 & 0.000002 & 1.320470 & -2.588071 & 2.588075 & -2.619964 & 2.543069 & -2.420179 & 0.000387 & -2.530518 & 0.210722 & -2.558559 & 0.017588 \\\\\n", "10 & plain & FULL & 2 & -71.451629 & 5.582820 & 2.570667 & 0.544405 & 10.621235 & 0.415890 & 10.624566 & -11.027820 & 17.817660 & -11.034868 & 17.537221 & -17.294438 & 14.727337 \\\\\n", "11 & plain & FULL & 3 & 10.389293 & -12.798483 & 4.824433 & -22.254199 & -3.342768 & -22.243914 & -3.030966 & -32.838801 & 5.789172 & -32.436639 & 5.801690 & -28.083489 & 26.411133 \\\\\n", "12 & plain & TRIM & 0 & -450.067920 & -450.067920 & 634.466071 & -1693.598568 & 793.462729 & -1686.317157 & 836.140863 & -737.807108 & -20.618997 & -715.579363 & -21.029663 & -543.464811 & -30.306043 \\\\\n", "13 & plain & TRIM & 1 & 727.812960 & 2.558580 & 2.354072 & -2.055318 & 7.172477 & -7.268098 & 2.077279 & -2.675272 & 0.000010 & -2.710152 & 0.000013 & -3.922263 & 0.000003 \\\\\n", "14 & plain & TRIM & 2 & -395.513392 & 14.726966 & 11.787523 & -8.376155 & 37.830086 & -8.975375 & 37.787152 & -11.143352 & 19.496428 & -11.122698 & 19.122665 & -10.773395 & 18.058431 \\\\\n", "15 & plain & TRIM & 3 & 72.294506 & -26.856408 & 20.371608 & -66.784025 & 13.071210 & -66.563419 & 14.496883 & -35.051578 & 5.858238 & -34.496500 & 5.851761 & -30.760968 & 5.677179 \\\\\n", "\\bottomrule\n", "\\end{tabular}\n", "\n" ] } ], "source": [ "# store table into latex\n", "file_path = results_path / \"pars_CI_long.txt\"\n", "\n", "with open(file_path, \"w\", encoding=\"utf-8\") as f:\n", " f.write(df_pars_CI_long.to_latex())\n", "\n", "print(df_pars_CI_long.to_latex())" ] }, { "cell_type": "code", "execution_count": null, "id": "3d60267f", "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "base (3.12.3)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.12.3" } }, "nbformat": 4, "nbformat_minor": 5 }