@article{shipe2019developing, title={Developing prediction models for clinical use using logistic regression: an overview}, author={Shipe, Maren E and Deppen, Stephen A and Farjah, Farhood and Grogan, Eric L}, journal={Journal of thoracic disease}, volume={11}, number={Suppl 4}, pages={S574}, year={2019}, doi={https://doi.org/10.21037%2Fjtd.2019.01.25}, publisher={AME Publications} } @article{boateng2019review, title={A review of the logistic regression model with emphasis on medical research}, author={Boateng, Ernest Yeboah and Abaye, Daniel A and others}, journal={Journal of data analysis and information processing}, volume={7}, number={04}, pages={190}, year={2019}, publisher={Scientific Research Publishing}, DOI={https://doi.org/10.4236/jdaip.2019.74012} } @article{schober2021logistic, title={Logistic regression in medical research}, author={Schober, Patrick and Vetter, Thomas R}, journal={Anesthesia \& Analgesia}, volume={132}, number={2}, pages={365--366}, year={2021}, publisher={LWW}, DOI={https://doi.org/10.1213%2FANE.0000000000005247} } @article{ajdari2019towards, title={Towards optimal stopping in radiation therapy}, author={Ajdari, Ali and Niyazi, Maximilian and Nicolay, Nils Henrik and Thieke, Christian and Jeraj, Robert and Bortfeld, Thomas}, journal={Radiotherapy and Oncology}, volume={134}, pages={96--100}, year={2019}, publisher={Elsevier}, doi={https://doi.org/10.1016/j.radonc.2019.01.010} } @article{ajdari2022personalized, title={Personalized mid-course fdg-pet based adaptive treatment planning for non-small cell lung cancer using machine learning and optimization}, author={Ajdari, Ali and Liao, Zhongxing and Mohan, Radhe and Wei, Xiong and Bortfeld, Thomas}, journal={Physics in Medicine \& Biology}, volume={67}, number={18}, pages={185015}, year={2022}, publisher={IOP Publishing}, doi={https://doi.org/10.1088/1361-6560/ac88b3} } @article{baumann2016radiation, title={Radiation oncology in the era of precision medicine}, author={Baumann, Michael and Krause, Mechthild and Overgaard, Jens and Debus, J{\"u}rgen and Bentzen, S{\o}ren M and Daartz, Juliane and Richter, Christian and Zips, Daniel and Bortfeld, Thomas}, journal={Nature Reviews Cancer}, volume={16}, number={4}, pages={234--249}, year={2016}, publisher={Nature Publishing Group UK London}, doi={https://doi.org/10.1038/nrc.2016.18} } @article{ten2020optimal, title={Optimal treatment plan adaptation using mid-treatment imaging biomarkers}, author={Ten Eikelder, SCM and Ferjan{\v{c}}i{\v{c}}, P and Ajdari, A and Bortfeld, T and Den Hertog, D and Jeraj, R}, journal={Physics in Medicine \& Biology}, volume={65}, number={24}, pages={245011}, year={2020}, publisher={IOP Publishing}, doi={https://doi.org/10.1088/1361-6560/abc130} } @article{pham2023os, title={Chemotherapy in Cutaneous Melanoma: Is There Still a Role?}, author={Pham, James P and Joshua, Anthony M and Silva, Ines P and Dummer, Reinhard and Goldinger Simone M}, journal={Current oncology reports}, volume={25}, number={6}, pages={609--621}, year={2023}, publisher={Springer}, doi={https://doi.org/10.1007%2Fs11912-023-01385-6} } @article{peisen2024os, title ={Pre-treatment 18F-FDG-PET/CT parameters as biomarkers for progression free survival, best overall response and overall survival in metastatic melanoma patients undergoing first-line immunotherapy}, author={Peisen, Felix and Gerken, Annika and Dahm, Isabel and Nikolau, Konstantin and Eigentler, Thomas and Amaral, Teresa and Moltz, Jan H and Othman, Ahmed E and Gatidis, Sergios}, journal = {PLoS ONE}, volumne = {19}, number = {1}, year = {2024}, doi={https://doi.org/10.1371/journal.pone.0296253} } @article{anwar2018, title ={Absolute number of new lesions on 18F-FDG PET/CT is more predictive of clinical response than SUV changes in metastatic melanoma patients receiving ipilimumab}, author = {Anwar, Hoda and Sachpekidis, Christos and Winkler, Julia and Kopp-Schneider, Annette and Haberkorn, Uwe and Hassel, Jessica C and Dimitrakopoulou-Strauss, Antonia}, journal = {Eur J Nucl Med Mol Imaging}, number = {45}, pages = {376-383}, year = {2018} } @article{basler2020, author = {Basler, Lucas and Gabryś, Hubert S. and Hogan, Sabrina A. and Pavic, Matea and Bogowicz, Marta and Vuong, Diem and Tanadini-Lang, Stephanie and Förster, Robert and Kudura, Ken and Huellner, Martin W. and Dummer, Reinhard and Guckenberger, Matthias and Levesque, Mitchell P.}, title = "{Radiomics, Tumor Volume, and Blood Biomarkers for Early Prediction of Pseudoprogression in Patients with Metastatic Melanoma Treated with Immune Checkpoint Inhibition}", journal = {Clinical Cancer Research}, volume = {26}, number = {16}, pages = {4414-4425}, year = {2020}, doi={https://doi.org/10.1007/s00259-017-3870-6} } @article{dirks2023, author = {Dirks, Ine and Keyaerts, Marleen and Dirven, Iris and Neyns, Bart and Vandemeulebroucke, Jef}, title = {Development and Validation of a Predictive Model for Metastatic Melanoma Patients Treated with Pembrolizumab Based on Automated Analysis of Whole-Body [18F]FDG PET/CT Imaging and Clinical Features}, journal = {Cancers}, volume = {15}, year = {2023}, number = {16}, doi={https://doi.org/10.3390/cancers15164083} } @article{flaus2021, author = {Flaus, Anthime and Habouzit, V. and De Leiris, N. and Vuillez, J. P. and Leccia, M. T. and Perrot, J. L. and Prevot, N. and Cachin, F}, title = {FDG PET biomarkers for prediction of survival in metastatic melanoma prior to anti-PD1 immunotherapy} , journal = {Sci Rep}, year = {2021}, number = {11}, doi={https://doi.org/10.1038/s41598-021-98310-3} } @article{hindie2020, author = {Hindie, Elif}, title = {Metastatic melanoma: can FDG-PET predict success of anti-PD-1 therapy and help determine when it can be discontinued?}, journal = {Eur J Nucl Med Mol Imaging}, year = {2020}, volume = {47}, pages = {2227–2232}, doi={https://doi.org/10.1007/s00259-020-04826-7} } @article{kudura2021, author = {Kudura, Ken and Dimitriou, Florentia and Basler, Lucas and Förster, Robert and Mihic-Probst, Daniela and Kutzker, Tim and Dummer, Reinhard and Mangana, Joanna and Burger, Irene A. and Kreissl, Michael C.}, title = {Prediction of Early Response to Immune Checkpoint Inhibition Using FDG-PET/CT in Melanoma Patients}, journal = {Cancers}, volume = {13}, year = {2021}, number = {15}, doi={https://doi.org/10.3390/cancers13153830} } @article{sachpekidis2023, author = {Sachpekidis, Christos and Stein-Thoeringer, Christoph K and Kopp-Schneider, Annette and Weru, Vivienn and Dimitrakopoulou-Strauss, Antonia and Hassel, Jessica C}, title ={Can physiologic colonic [18F]FDG uptake in PET/CT imaging predict response to immunotherapy in metastatic melanoma?}, journal = {Eur J Nucl Med Mol Imaging}, year = {2023}, volume = {50}, number = {12}, pages = {3709–3722}, doi={https://doi.org/10.1007/s00259-023-06327-9} } @article{wolchok2017overall, title={Overall survival with combined nivolumab and ipilimumab in advanced melanoma}, author={Wolchok, Jedd D and Chiarion-Sileni, Vanna and Gonzalez, Rene and Rutkowski, Piotr and Grob, Jean-Jacques and Cowey, C Lance and Lao, Christopher D and Wagstaff, John and Schadendorf, Dirk and Ferrucci, Pier F and others}, journal={New England Journal of Medicine}, volume={377}, number={14}, pages={1345--1356}, year={2017}, publisher={Mass Medical Soc}, doi={https://doi.org/10.1056/nejmoa1709684} } @article{guo2010review, title={A review of quantitative risk--benefit methodologies for assessing drug safety and efficacy—report of the ISPOR risk--benefit management working group}, author={Guo, Jeff J and Pandey, Swapnil and Doyle, John and Bian, Boyang and Lis, Yvonne and Raisch, Dennis W}, journal={Value in Health}, volume={13}, number={5}, pages={657--666}, year={2010}, publisher={Wiley Online Library}, doi={https://doi.org/10.1111/j.1524-4733.2010.00725.x} } @article{iravani2020, author = {Iravani, Amir and Osman, Medhat M and Weppler, Alison M and Wallace, Roslyn and Galligan, Anna and Lasocki, Arian and Hunter, Morgan O and Akhurst, Tim and Hofman, Michael S and Lau, Peter K H and Kee, Damien and Au-Yeung, George and Sandhu, Shahneen and Hicks, Rodney J}, title = {FDG PET/CT for tumoral and systemic immune response monitoring of advanced melanoma during first-line combination ipilimumab and nivolumab treatment}, journal = {Eur J Nucl Med Mol Imaging}, year = {2020}, volume = {47}, pages = {2776–2786}, doi={https://doi.org/10.1007/s00259-020-04815-w} } @article{nadaraja2024, author = {Nadaraja, Sambavy and Helsing,Jonas and Naghavi-Behzad, Mohammad and Land, Lotte H and Ruhlmann, Christina H and Gerke, Oke and Hildebrandt, Malene G }, title = {Value of 2-[18F]FDG-PET/CT in identifying immune-related adverse events in patients with melanoma or non-small cell lung cancer: a systematic scoping review}, journal = {Clinical and Translational Imaging}, year = {2024}, volume = {12}, pages = {187–195}, doi={https://doi.org/10.1007/s40336-024-00618-3} } @article{kurzinger2020structured, title={Structured benefit--risk evaluation for medicinal products: review of quantitative benefit--risk assessment findings in the literature}, author={K{\"u}rzinger, Marie-Laure and Douarin, Ludivine and Uzun, Ievgeniia and El-Haddad, Chantal and Hurst, William and Juhaeri, Juhaeri and Tcherny-Lessenot, St{\'e}phanie}, journal={Therapeutic Advances in Drug Safety}, volume={11}, pages={2042098620976951}, year={2020}, publisher={SAGE Publications Sage UK: London, England}, doi={https://doi.org/10.1177/2042098620976951} } @article{aide2022PETmelanoma, author = {Aide, Nicolas and Iravani, Amir and Pringent, Kevin and Kottler, Diane and Alipour, Ramin and Hicks, Rodney J}, title = {PET/CT variants and pitfalls in malignant melanoma}, volume = {22}, number = {1}, journal = {Cancer imaging}, year = {2022}, doi={https://doi.org/10.1186/s40644-021-00440-4} } @article{wolchok2022long, title={Long-term outcomes with nivolumab plus ipilimumab or nivolumab alone versus ipilimumab in patients with advanced melanoma}, author={Wolchok, Jedd D and Chiarion-Sileni, Vanna and Gonzalez, Rene and Grob, Jean-Jacques and Rutkowski, Piotr and Lao, Christopher D and Cowey, C Lance and Schadendorf, Dirk and Wagstaff, John and Dummer, Reinhard and others}, journal={Journal of Clinical Oncology}, volume={40}, number={2}, pages={127}, year={2022}, publisher={American Society of Clinical Oncology}, doi={https://doi.org/10.1200/jco.21.02229} } @article{filippiRolePET, author = {Filippi, Luca and Bianconi, Francesco and Schillaci, Orazio and Spanu, Angela and Palumbo, Barbara}, title = {The Role and Potential of 18F-FDG PET/CT in Malignant Melanoma: Prognostication, Monitoring Response to Targeted and Immunotherapy, and Radiomics}, journal = {Diagnostics}, volume = {12}, year = {2022}, number = {4}, publisher = {MDPI}, doi={https://doi.org/10.3390/diagnostics12040929} } @article{valentinuzzi2020f, title={[F] FDG PET immunotherapy radiomics signature (iRADIOMICS) predicts response of non-small-cell lung cancer patients treated with pembrolizumab}, author={Valentinuzzi, Damijan and Vrankar, Martina and Boc, Nina and Ahac, Valentina and Zupancic, Ziga and Unk, Mojca and Skalic, Katja and Zagar, Ivana and Studen, Andrej and Simoncic, Urban and others}, journal={Radiology and Oncology}, volume={54}, number={3}, pages={285--294}, year={2020}, doi={[F] FDG PET immunotherapy radiomics signature (iRADIOMICS) predicts response of non-small-cell lung cancer patients treated with pembrolizumab} } @article{wang2018fatal, title={Fatal toxic effects associated with immune checkpoint inhibitors: a systematic review and meta-analysis}, author={Wang, Daniel Y and Salem, Joe-Elie and Cohen, Justine V and Chandra, Sunandana and Menzer, Christian and Ye, Fei and Zhao, Shilin and Das, Satya and Beckermann, Kathryn E and Ha, Lisa and others}, journal={JAMA oncology}, volume={4}, number={12}, pages={1721--1728}, year={2018}, publisher={American Medical Association}, doi={https://doi.org/10.1001/jamaoncol.2018.3923} } @article{puzanov2017managing, title={Managing toxicities associated with immune checkpoint inhibitors: consensus recommendations from the Society for Immunotherapy of Cancer (SITC) Toxicity Management Working Group}, author={Puzanov, I and Diab, A and Abdallah, K and Bingham, CO 3rd and Brogdon, 3C and Dadu, R and Hamad, L and Kim, S and Lacouture, ME and LeBoeuf, NR and others}, journal={Journal for immunotherapy of cancer}, volume={5}, pages={1--28}, year={2017}, publisher={Springer}, doi={https://doi.org/10.1186/s40425-017-0300-z} } @article{gandy2020immunotherapy, title={Immunotherapy-related adverse effects on 18F-FDG PET/CT imaging}, author={Gandy, Nemi and Arshad, Mubarik A and Wallitt, Kathryn L and Dubash, Suraiya and Khan, Sameer and Barwick, Tara D}, journal={The British Journal of Radiology}, volume={93}, number={1111}, pages={20190832}, year={2020}, publisher={The British Institute of Radiology.}, doi={https://doi.org/10.1259%2Fbjr.20190832} } @article{lang2019clinical, title={Clinical significance of signs of autoimmune colitis in 18F-fluorodeoxyglucose positron emission tomography-computed tomography of 100 stage-IV melanoma patients}, author={Lang, Nina and Dick, Julika and Slynko, Alla and Schulz, Carsten and Dimitrakopoulou-Strauss, Antonia and Sachpekidis, Christos and Enk, Alexander H and Hassel, Jessica C}, journal={Immunotherapy}, volume={11}, number={8}, pages={667--676}, year={2019}, publisher={Future Medicine}, doi={https://doi.org/10.2217/imt-2018-0146} } @article{eshghi201818f, title={18F-FDG PET/CT can predict development of thyroiditis due to immunotherapy for lung cancer}, author={Eshghi, Naghmehossadat and Garland, Linda L and Nia, Emily and Betancourt, Robert and Krupinski, Elizabeth and Kuo, Phillip H}, journal={Journal of nuclear medicine technology}, volume={46}, number={3}, pages={260--264}, year={2018}, publisher={Soc Nuclear Med}, doi={https://doi.org/10.2967/jnmt.117.204933} } @article{chen2019relationship, title={Relationship between PD-L1 expression and 18F-FDG uptake in gastric cancer}, author={Chen, Ruohua and Chen, Yumei and Huang, Gang and Liu, Jianjun}, journal={Aging (Albany NY)}, volume={11}, number={24}, pages={12270}, year={2019}, publisher={Impact Journals, LLC}, doi={https://doi.org/10.18632/aging.102567} } @article{nakamura2010suvmax, title={The SUVmax of 18F-FDG PET correlates with histological grade in endometrial cancer}, author={Nakamura, Keiichiro and Kodama, Junichi and Okumura, Yoshihiro and Hongo, Atsushi and Kanazawa, Susumu and Hiramatsu, Yuji}, journal={International Journal of Gynecologic Cancer}, volume={20}, number={1}, year={2010}, publisher={BMJ Specialist Journals}, doi={https://doi.org/10.1111/igc.0b013e3181c3a288} } @article{horne2014pretreatment, title={Pretreatment SUV max predicts progression-free survival in early-stage non-small cell lung cancer treated with stereotactic body radiation therapy}, author={Horne, Zachary D and Clump, David A and Vargo, John A and Shah, Samir and Beriwal, Sushil and Burton, Steven A and Quinn, Annette E and Schuchert, Matthew J and Landreneau, Rodney J and Christie, Neil A and others}, journal={Radiation Oncology}, volume={9}, pages={1--6}, year={2014}, publisher={Springer}, doi={https://doi.org/10.1186/1748-717x-9-41} } 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Hogg AND Dustin Lang AND Jonathan Goodman}, title={emcee: The MCMC Hammer}, journal={Publications of the Astronomical Society of the Pacific} } @article{Salvatier2016, doi={10.7717/peerj-cs.55}, url={https://doi.org/10.7717/peerj-cs.55}, year ={2016}, month={apr}, publisher={{PeerJ}}, volume={2}, pages={e55}, author={John Salvatier AND Thomas V. 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C.}, biburl={https://www.bibsonomy.org/bibtex/24c23fea472f6e75c0964badd83883d77/tmalsburg}, interhash={86f621d9d6f9f159448f768d792d4511}, intrahash={4c23fea472f6e75c0964badd83883d77}, keywords={bayesianinference book informationtheory neuralnetworks patternrecognition probabilitytheory}, publisher={Copyright Cambridge University Press}, timestamp={2007-05-24T14:43:04.000+0200}, title={Information Theory, Inference, and Learning Algorithms}, year=2003 } @book{Efron1982, author={Efron, Bradley}, title={The Jackknife, the Bootstrap and Other Resampling Plans}, publisher={Society for Industrial and Applied Mathematics}, year={1982}, doi={10.1137/1.9781611970319}, address={}, edition ={}, url={https://epubs.siam.org/doi/abs/10.1137/1.9781611970319} } @book{Nocedal2006, title={Numerical Optimization}, author={Nocedal, J. and Wright, S.}, isbn={9780387400655}, lccn={2006923897}, series={Springer Series in Operations Research and Financial Engineering}, year={2006}, publisher={Springer New York} } @incollection{Newey1994, title={Chapter 36 Large sample estimation and hypothesis testing}, booktitle={Handbook of Econometrics}, publisher={Elsevier}, volume={4}, pages={2111-2245}, year={1994}, issn={1573-4412}, doi={https://doi.org/10.1016/S1573-4412(05)80005-4}, url={https://www.sciencedirect.com/science/article/pii/S1573441205800054}, author={Whitney K. Newey and Daniel McFadden}, abstract={Asymptotic distribution theory is the primary method used to examine the properties of econometric estimators and tests. We present conditions for obtaining cosistency and asymptotic normality of a very general class of estimators (extremum estimators). Consistent asymptotic variance estimators are given to enable approximation of the asymptotic distribution. Asymptotic efficiency is another desirable property then considered. Throughout the chapter, the general results are also specialized to common econometric estimators (e.g. MLE and GMM), and in specific examples we work through the conditions for the various results in detail. The results are also extended to two-step estimators (with finite-dimensional parameter estimation in the first step), estimators derived from nonsmooth objective functions, and semiparametric two-step estimators (with nonparametric estimation of an infinite-dimensional parameter in the first step). Finally, the trinity of test statistics is considered within the quite general setting of GMM estimation, and numerous examples are given.} } @book{Efron1994, title={An Introduction to the Bootstrap}, author={Efron, B. and Tibshirani, R. J.}, isbn={9780412042317}, lccn={93004489}, series={Chapman \& Hall/CRC Monographs on Statistics \& Applied Probability}, year={1994}, publisher={Taylor \& Francis} } @book{DavisonHinkley1997, place={Cambridge}, series={Cambridge Series in Statistical and Probabilistic Mathematics}, title={Bootstrap Methods and their Application}, publisher={Cambridge University Press}, author={Davison, A. C. and Hinkley, D. V.}, year={1997}, collection={Cambridge Series in Statistical and Probabilistic Mathematics} } @book{Press1992, Title ={Numerical Recipes in C}, Author ={William H. Press AND Saul A. Teukolsky AND William T. Vetterling AND Brian P. Flannery}, Publisher ={Cambridge University Press}, Year ={1992}, Address ={Cambridge, USA}, Edition ={Second} } @article{Hribernik2021, author = {Hribernik, Ne{\v{z}}ka and Huff, Daniel T. and Studen, Andrej and Zevnik, Katarina and Klane{\v{c}}ek, {\v{Z}}an and Emamekhoo, Hamid and {\v{S}}kalic, Katja and Jeraj, Robert and Reber{\v{s}}ek, Martina}, title = {Quantitative imaging biomarkers of immune-related adverse events in immune-checkpoint blockade-treated metastatic melanoma patients: a pilot study}, journal = {European Journal of Nuclear Medicine and Molecular Imaging}, volume = {49}, number = {6}, pages = {1857--1869}, year = {2021}, month = {December}, address = {Germany} } @article{Huff2021, doi = {10.1088/2057-1976/ac27c3}, url = {https://dx.doi.org/10.1088/2057-1976/ac27c3}, year = {2021}, month = {sep}, publisher = {IOP Publishing}, volume = {7}, number = {6}, pages = {065019}, author = {Huff, Daniel T and Ferjancic, Peter and Namías, Mauro and Emamekhoo, Hamid and Perlman, Scott B and Jeraj, Robert}, title = {Image intensity histograms as imaging biomarkers: application to immune-related colitis}, journal = {Biomedical Physics \& Engineering Express} } @article{robert2021, title={Long-term safety of pembrolizumab monotherapy and relationship with clinical outcome: A landmark analysis in patients with advanced melanoma}, author={Caroline Robert and Wen-Jen Hwu and Omid Hamid and Antoni Ribas and Jeffrey S. Weber and Adil I. Daud and F. Stephen Hodi and Jedd D. Wolchok and Tara C. Mitchell and Peter Hersey and Roxana Dronca and Richard W. Joseph and Celine Boutros and Le Min and Georgina V. Long and Jacob Schachter and Igor Puzanov and Reinhard Dummer and Jianxin Lin and Nageatte Ibrahim and Scott J. Diede and Matteo S. Carlino and Anthony M. Joshua}, journal={European Journal of Cancer}, volume={144}, pages={182--191}, year={2021}, issn={0959-8049}, doi={https://doi.org/10.1016/j.ejca.2020.11.010}, url={https://www.sciencedirect.com/science/article/pii/S0959804920313332}, keywords={Pembrolizumab, Advanced melanoma, Immune-related adverse events, Immune-checkpoint inhibitors, PD-1 inhibitors, Immunomodulating drugs, Corticosteroid use}, abstract={This study evaluates the long-term safety and clinical outcomes of pembrolizumab monotherapy in patients with advanced melanoma, using data from KEYNOTE-001, KEYNOTE-002, and KEYNOTE-006. Adverse events (AEs) were analyzed for 1567 patients with a median follow-up of 42.4 months. Most AEs were mild or moderate, with grade 3/4 treatment-related AEs occurring in 17.7% of patients. Any-grade immune-mediated AEs (imAEs) were reported in 23.0% of patients, with hypothyroidism, pneumonitis, and hyperthyroidism being the most common. Landmark analysis showed similar efficacy outcomes regardless of the presence of imAEs or systemic corticosteroid use. The findings reinforce the safety profile of pembrolizumab without new toxicity signals after extended follow-up.}, clinicaltrial={NCT01295827, NCT01704287, NCT01866319} } @article{li2023challenges, title={Challenges and opportunities in molecular simulation of amorphous polymer materials}, author={Li, Yang and Jiang, Bin}, journal={Chinese Journal of Chemical Physics}, volume={36}, number={6}, pages={705--714}, year={2023}, publisher={AIP Publishing}, abstract={This paper discusses the current challenges and future opportunities in molecular simulation of amorphous polymer materials, focusing on computational methods and material properties.} } @article{cheng2022accelerating, title={Accelerating molecular simulations of soft materials using machine learning}, author={Cheng, Bingqing and Chen, Mojie and Ceriotti, Michele and others}, journal={Nature Reviews Materials}, volume={7}, number={11}, pages={822--833}, year={2022}, publisher={Nature Publishing Group}, abstract={The application of machine learning techniques in molecular simulations of soft materials is reviewed, highlighting efficiency gains and predictive accuracy.} } @article{zhang2021machine, title={Machine learning in polymer informatics}, author={Zhang, Yongjin and Wang, Hengbin and Luo, Yingkai and Wang, Chongmin and Han, Jinkyu and Lin, Taoran and others}, journal={InfoMat}, volume={3}, number={9}, pages={943--965}, year={2021}, publisher={Wiley Online Library}, abstract={An overview of recent developments in machine learning for polymer informatics, focusing on data-driven approaches for polymer design and property prediction.} } @article{behler2016perspective, title={Perspective: Machine learning potentials for atomistic simulations}, author={Behler, J{\"o}rg}, journal={The Journal of Chemical Physics}, volume={145}, number={17}, pages={170901}, year={2016}, publisher={AIP Publishing}, abstract={This perspective article reviews machine learning-based interatomic potentials and their impact on atomistic simulations, covering methodologies and applications.} } @article{brier1950verification, title={Verification of forecasts expressed in terms of probability}, author={Brier, Glenn W}, journal={Monthly weather review}, volume={78}, number={1}, pages={1--3}, year={1950} } @article{murphy1973new, title={A new vector partition of the probability score}, author={Murphy, Allan H}, journal={Journal of Applied Meteorology and Climatology}, volume={12}, number={4}, pages={595--600}, year={1973} } @article{yates1982external, title={External correspondence: Decompositions of the mean probability score}, author={Yates, J Frank}, journal={Organizational Behavior and Human Performance}, volume={30}, number={1}, pages={132--156}, year={1982}, publisher={Elsevier} } @book{wilks2011statistical, title={Statistical methods in the atmospheric sciences}, author={Wilks, Daniel S}, year={2011}, publisher={Academic Press}, isbn={978-0123850225}, edition={3} } @article{toma2014quantitative, title={Quantitative techniques for financial risk assessment: a comparative approach using different risk measures and estimation methods}, author={Toma, Aida and Dedu, Silvia}, journal={Procedia Economics and Finance}, volume={8}, pages={712--719}, year={2014}, publisher={Elsevier} } @book{pepe2003statistical, title={The statistical evaluation of medical tests for classification and prediction}, author={Pepe, Margaret Sullivan}, year={2003}, publisher={Oxford university press} } @book{zhou2014statistical, title={Statistical methods in diagnostic medicine}, author={Zhou, Xiao-Hua and Obuchowski, Nancy A and McClish, Donna K}, year={2014}, publisher={John Wiley \& Sons} } @article{richter2018review, title={A review of statistical and machine learning methods for modeling cancer risk using structured clinical data}, author={Richter, Aaron N and Khoshgoftaar, Taghi M}, journal={Artificial intelligence in medicine}, volume={90}, pages={1--14}, year={2018}, publisher={Elsevier} } @book{steyerberg, title={Clinical prediction models: a practical approach to development, validation, and updating}, author={Steyerberg EW}, year={2009}, publisher={Statistics for Biology and Health. 1st ed. New York, Springer-Verlag} } @article{kim2012development, title={Development of novel breast cancer recurrence prediction model using support vector machine}, author={Kim, Woojae and Kim, Ku Sang and Lee, Jeong Eon and Noh, Dong-Young and Kim, Sung-Won and Jung, Yong Sik and Park, Man Young and Park, Rae Woong}, journal={Journal of breast cancer}, volume={15}, number={2}, pages={230--238}, year={2012}, publisher={Korean Breast Cancer Society} } @article{bellazzi2008predictive, title={Predictive data mining in clinical medicine: current issues and guidelines}, author={Bellazzi, Riccardo and Zupan, Blaz}, journal={International journal of medical informatics}, volume={77}, number={2}, pages={81--97}, year={2008}, publisher={Elsevier} } @article{yu2016development, title={Development and validation of a prediction model to estimate individual risk of pancreatic cancer}, author={Yu, Ami and Woo, Sang Myung and Joo, Jungnam and Yang, Hye-Ryung and Lee, Woo Jin and Park, Sang-Jae and Nam, Byung-Ho}, journal={PloS one}, volume={11}, number={1}, pages={e0146473}, year={2016}, publisher={Public Library of Science San Francisco, CA USA} } @article{janes2008assessing, title={Assessing the value of risk predictions by using risk stratification tables}, author={Janes, Holly and Pepe, Margaret S and Gu, Wen}, journal={Annals of internal medicine}, volume={149}, number={10}, pages={751--760}, year={2008}, publisher={American College of Physicians} } @article{cook2008statistical, title={Statistical evaluation of prognostic versus diagnostic models: beyond the ROC curve}, author={Cook, Nancy R}, journal={Clinical chemistry}, volume={54}, number={1}, pages={17--23}, year={2008}, publisher={Oxford University Press} } @article{pepe2010potential, title={The potential of genes and other markers to inform about risk}, author={Pepe, Margaret S and Gu, Jessie W and Morris, Daryl E}, journal={Cancer epidemiology, biomarkers \& prevention}, volume={19}, number={3}, pages={655--665}, year={2010}, publisher={AACR} } @article{huang2009parametric, title={A parametric roc model-based approach for evaluating the predictiveness of continuous markers in case--control studies}, author={Huang, Ying and Pepe, MS}, journal={Biometrics}, volume={65}, number={4}, pages={1133--1144}, year={2009}, publisher={Oxford University Press} } @article{lineberry2016recommendations, title={Recommendations to improve adverse event reporting in clinical trial publications: a joint pharmaceutical industry/journal editor perspective}, author={Lineberry, Neil and Berlin, Jesse A and Mansi, Bernadette and Glasser, Susan and Berkwits, Michael and Klem, Christian and Bhattacharya, Ananya and Citrome, Leslie and Enck, Robert and Fletcher, John and others}, journal={BMJ}, volume={355}, year={2016}, publisher={British Medical Journal Publishing Group}, doi={https://doi.org/10.1136/bmj.i5078} } @book{cox2018analysis, title={Analysis of survival data}, author={Cox, David Roxbee}, year={2018}, publisher={Chapman and Hall/CRC} } @article{khoshgoftaar1999logistic, title={Logistic regression modeling of software quality}, author={Khoshgoftaar, Taghi M and Allen, Edward B}, journal={International Journal of Reliability, Quality and Safety Engineering}, volume={6}, number={04}, pages={303--317}, year={1999}, publisher={World Scientific} } @article{nick2007logistic, title={Logistic regression}, author={Nick, Todd G and Campbell, Kathleen M}, journal={Topics in biostatistics}, pages={273--301}, year={2007}, publisher={Springer} } @article{pillans2008clinical, title={Clinical perspectives in drug safety and adverse drug reactions}, author={Pillans, Peter Ian}, journal={Expert review of clinical pharmacology}, volume={1}, number={5}, pages={695--705}, year={2008}, publisher={Taylor \& Francis} } @article{murff2003detecting, title={Detecting adverse events for patient safety research: a review of current methodologies}, author={Murff, Harvey J and Patel, Vimla L and Hripcsak, George and Bates, David W}, journal={Journal of biomedical informatics}, volume={36}, number={1-2}, pages={131--143}, year={2003}, publisher={Elsevier} } @article{coz2024overview, title={An Overview of Regression Models for Adverse Events Analysis}, author={Coz, Elsa and Fauvernier, Mathieu and Maucort-Boulch, Delphine}, journal={Drug Safety}, volume={47}, number={3}, pages={205--216}, year={2024}, publisher={Springer} } @article{zou2023review, title={A review of uncertainty estimation and its application in medical imaging}, author={Zou, Ke and Chen, Zhihao and Yuan, Xuedong and Shen, Xiaojing and Wang, Meng and Fu, Huazhu}, journal={Meta-Radiology}, pages={100003}, year={2023}, publisher={Elsevier} } @article{abdar2021review, title={A review of uncertainty quantification in deep learning: Techniques, applications and challenges}, author={Abdar, Moloud and Pourpanah, Farhad and Hussain, Sadiq and Rezazadegan, Dana and Liu, Li and Ghavamzadeh, Mohammad and Fieguth, Paul and Cao, Xiaochun and Khosravi, Abbas and Acharya, U Rajendra and others}, journal={Information fusion}, volume={76}, pages={243--297}, year={2021}, publisher={Elsevier} } @book{benjamin2014probability, title={Probability, statistics, and decision for civil engineers}, author={Benjamin, Jack R and Cornell, C Allin}, year={2014}, publisher={Courier Corporation} } @article{faber2005treatment, title = {On the treatment of uncertainties and probabilities in engineering decision analysis}, abstract = {In the present paper an introduction is initially given on the interpretation of uncertainty and probability in engineering decision analysis and it is explained how, in some cases, uncertainties may change type depending on the "scale" of the applied modeling and as a function of time. Thereafter it is attempted to identify and outline the generic character of different engineering decision problems and to categorize these as prior, posterior, and preposterior decision problems, in accordance with the Bayesian decision theory. Finally, input is given to an ongoing discussion concerning the correctness and consistency of uncertainty modeling applied in the most recent reliability updating analysis for structural requalification and inspection and maintenance planning. To this end an outline is given in regard to appropriate uncertainty treatment in the probabilistic modeling for different types of decision problems.}, author = {Faber, Michael Havbro}, year = {2005}, month = aug, doi = {10.1115/1.1951776}, language = {English}, volume = {127}, pages = {243--248}, journal = {Journal of Offshore Mechanics and Arctic Engineering}, issn = {0892-7219}, publisher = {American Society of Mechanical Engineers}, number = {3}, } @article{lindley2000philosophy, title={The philosophy of statistics}, author={Lindley, Dennis V}, journal={Journal of the Royal Statistical Society Series D: The Statistician}, volume={49}, number={3}, pages={293--337}, year={2000}, publisher={Oxford University Press} } @article{pate1996uncertainties, title={Uncertainties in risk analysis: Six levels of treatment}, author={Pat{\'e}-Cornell, M Elisabeth}, journal={Reliability Engineering \& System Safety}, volume={54}, number={2-3}, pages={95--111}, year={1996}, publisher={Elsevier} } @article{der2009aleatory, title={Aleatory or epistemic? Does it matter?}, author={Der Kiureghian, Armen and Ditlevsen, Ove}, journal={Structural safety}, volume={31}, number={2}, pages={105--112}, year={2009}, publisher={Elsevier} } @article{field2007model, title={Model selection in applied science and engineering: A decision-theoretic approach}, author={Field Jr, RV and Grigoriu, Mircea}, journal={Journal of Engineering Mechanics}, volume={133}, number={7}, pages={780--791}, year={2007}, publisher={American Society of Civil Engineers} } @article{kiureghian1989measures, title={Measures of structural safety under imperfect states of knowledge}, author={Kiureghian, Armen Der}, journal={Journal of Structural Engineering}, volume={115}, number={5}, pages={1119--1140}, year={1989}, publisher={American Society of Civil Engineers} } @book{Johnson1994, title = {Continuous Univariate Distributions, Vol. 1}, author = {Norman L. Johnson and Samuel Kotz and Narayanaswamy Balakrishnan}, publisher = {John Wiley \& Sons, Inc.}, isbn = {978-0-471-58495-7}, year = {1994}, series = {Wiley Series in Probability and Statistics}, edition = {2}, volume = {} } @book{Johnson1995, title = {Continuous univariate distributions, Vol. 2}, author = {Norman L. Johnson and Samuel Kotz and Narayanaswamy Balakrishnan }, publisher = {John Wiley \& Sons, Inc.}, isbn = {978-0-471-58494-0}, year = {1995}, series = {Wiley Series in Probability and Statistics}, edition = {2}, volume = {} }