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The Journal of Thoracic and Cardiovascular Surgery","author":"Austin Peter C","year":"2007","unstructured":"Peter C Austin . 2007. Propensity-score matching in the cardiovascular surgery literature from 2004 to 2006: a systematic review and suggestions for improvement. The Journal of Thoracic and Cardiovascular Surgery ( 2007 ). Peter C Austin. 2007. Propensity-score matching in the cardiovascular surgery literature from 2004 to 2006: a systematic review and suggestions for improvement. The Journal of Thoracic and Cardiovascular Surgery (2007)."},{"key":"e_1_3_2_1_2_1","volume-title":"The use of propensity score methods with survival or time-to-event outcomes: reporting measures of effect similar to those used in randomized experiments. Statistics in Medicine","author":"Austin Peter C","year":"2014","unstructured":"Peter C Austin . 2014. The use of propensity score methods with survival or time-to-event outcomes: reporting measures of effect similar to those used in randomized experiments. Statistics in Medicine ( 2014 ). Peter C Austin. 2014. The use of propensity score methods with survival or time-to-event outcomes: reporting measures of effect similar to those used in randomized experiments. Statistics in Medicine (2014)."},{"key":"e_1_3_2_1_3_1","unstructured":"Anand Avati Tony Duan Sharon Zhou Kenneth Jung Nigam H Shah and Andrew Y Ng. 2020. Countdown regression: sharp and calibrated survival predictions. In Uncertainty in Artificial Intelligence.  Anand Avati Tony Duan Sharon Zhou Kenneth Jung Nigam H Shah and Andrew Y Ng. 2020. Countdown regression: sharp and calibrated survival predictions. In Uncertainty in Artificial Intelligence."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"crossref","unstructured":"Elias Bareinboim and Judea Pearl. 2012. Controlling selection bias in causal inference. In AISTATS.  Elias Bareinboim and Judea Pearl. 2012. Controlling selection bias in causal inference. In AISTATS.","DOI":"10.1609\/aaai.v25i1.8056"},{"key":"e_1_3_2_1_5_1","volume-title":"Generating survival times to simulate Cox proportional hazards models. Statistics in medicine","author":"Bender Ralf","year":"2005","unstructured":"Ralf Bender , Thomas Augustin , and Maria Blettner . 2005. Generating survival times to simulate Cox proportional hazards models. Statistics in medicine ( 2005 ). Ralf Bender, Thomas Augustin, and Maria Blettner. 2005. Generating survival times to simulate Cox proportional hazards models. Statistics in medicine (2005)."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1001\/jama.1994.03510350050036"},{"key":"e_1_3_2_1_7_1","volume-title":"Worth the weight: using inverse probability weighted Cox models in AIDS research. AIDS research and human retroviruses","author":"Buchanan Ashley L","year":"2014","unstructured":"Ashley L Buchanan , Michael G Hudgens , Stephen R Cole , Bryan Lau , Adaora A Adimora , and Women's Interagency HIV Study . 2014. Worth the weight: using inverse probability weighted Cox models in AIDS research. AIDS research and human retroviruses ( 2014 ). Ashley L Buchanan, Michael G Hudgens, Stephen R Cole, Bryan Lau, Adaora A Adimora, and Women's Interagency HIV Study. 2014. Worth the weight: using inverse probability weighted Cox models in AIDS research. AIDS research and human retroviruses (2014)."},{"key":"e_1_3_2_1_8_1","volume-title":"Improving efficiency and robustness of the doubly robust estimator for a population mean with incomplete data. Biometrika","author":"Cao Weihua","year":"2009","unstructured":"Weihua Cao , Anastasios A Tsiatis , and Marie Davidian . 2009. Improving efficiency and robustness of the doubly robust estimator for a population mean with incomplete data. Biometrika ( 2009 ). Weihua Cao, Anastasios A Tsiatis, and Marie Davidian. 2009. Improving efficiency and robustness of the doubly robust estimator for a population mean with incomplete data. Biometrika (2009)."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"crossref","unstructured":"P. Chapfuwa C. Tao C. Li I. Khan K. J. Chandross M. J. Pencina L. Carin and R. Henao. 2020. Calibration and Uncertainty in Neural Time-to-Event Modeling. IEEE Transactions on Neural Networks and Learning Systems (2020).  P. Chapfuwa C. Tao C. Li I. Khan K. J. Chandross M. J. Pencina L. Carin and R. Henao. 2020. Calibration and Uncertainty in Neural Time-to-Event Modeling. IEEE Transactions on Neural Networks and Learning Systems (2020).","DOI":"10.1109\/TNNLS.2020.3029631"},{"key":"e_1_3_2_1_10_1","unstructured":"Paidamoyo Chapfuwa Chenyang Tao Chunyuan Li Courtney Page Benjamin Goldstein Lawrence Carin and Ricardo Henao. 2018. Adversarial time-to-event modeling. In ICML.  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The Annals of Applied Statistics","author":"Chipman Hugh A","year":"2010","unstructured":"Hugh A Chipman , Edward I George , Robert E McCulloch , 2010 . BART: Bayesian additive regression trees. The Annals of Applied Statistics (2010). Hugh A Chipman, Edward I George, Robert E McCulloch, et al. 2010. BART: Bayesian additive regression trees. The Annals of Applied Statistics (2010)."},{"key":"e_1_3_2_1_13_1","volume-title":"Adjusted survival curves with inverse probability weights. Computer methods and programs in biomedicine","author":"Cole Stephen R","year":"2004","unstructured":"Stephen R Cole and Miguel A Hern\u00e1n . 2004. Adjusted survival curves with inverse probability weights. Computer methods and programs in biomedicine ( 2004 ). Stephen R Cole and Miguel A Hern\u00e1n. 2004. Adjusted survival curves with inverse probability weights. 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Frank E Harrell Jr, Kerry L Lee, Robert M Califf, David B Pryor, and Robert A Rosati. 1984. Regression modelling strategies for improved prognostic prediction. Statistics in medicine (1984)."},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijmedinf.2007.09.001"},{"key":"e_1_3_2_1_25_1","volume-title":"Individualized treatment effects with censored data via fully nonparametric Bayesian accelerated failure time models. Biostatistics","author":"Henderson Nicholas C","year":"2020","unstructured":"Nicholas C Henderson , Thomas A Louis , Gary L Rosner , and Ravi Varadhan . 2020. Individualized treatment effects with censored data via fully nonparametric Bayesian accelerated failure time models. Biostatistics ( 2020 ). Nicholas C Henderson, Thomas A Louis, Gary L Rosner, and Ravi Varadhan. 2020. Individualized treatment effects with censored data via fully nonparametric Bayesian accelerated failure time models. Biostatistics (2020)."},{"key":"e_1_3_2_1_26_1","volume-title":"Marginal structural models to estimate the causal effect of zidovudine on the survival of HIV-positive men. Epidemiology","author":"Hern\u00e1n Miguel \u00c1ngel","year":"2000","unstructured":"Miguel \u00c1ngel Hern\u00e1n , Babette Brumback , and James M Robins . 2000. Marginal structural models to estimate the causal effect of zidovudine on the survival of HIV-positive men. Epidemiology ( 2000 ). Miguel \u00c1ngel Hern\u00e1n, Babette Brumback, and James M Robins. 2000. Marginal structural models to estimate the causal effect of zidovudine on the survival of HIV-positive men. Epidemiology (2000)."},{"key":"e_1_3_2_1_27_1","volume-title":"Structural accelerated failure time models for survival analysis in studies with time-varying treatments. 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Boca Raton: Chapman & Hill\/CRC (2020)."},{"key":"e_1_3_2_1_29_1","volume-title":"Bayesian nonparametric modeling for causal inference. Journal of Computational and Graphical Statistics","author":"Hill Jennifer L","year":"2011","unstructured":"Jennifer L Hill . 2011. Bayesian nonparametric modeling for causal inference. Journal of Computational and Graphical Statistics ( 2011 ). Jennifer L Hill. 2011. Bayesian nonparametric modeling for causal inference. Journal of Computational and Graphical Statistics (2011)."},{"key":"e_1_3_2_1_30_1","volume":"195","author":"Horvitz Daniel G","unstructured":"Daniel G Horvitz and Donovan J Thompson. 195 2. A generalization of sampling without replacement from a finite universe. Journal of the American statistical Association (1952). Daniel G Horvitz and Donovan J Thompson. 1952. A generalization of sampling without replacement from a finite universe. Journal of the American statistical Association (1952).","journal-title":"Donovan J Thompson."},{"key":"e_1_3_2_1_31_1","volume-title":"Estimating heterogeneous survival treatment effect in observational data using machine learning. arXiv","author":"Hu Liangyuan","year":"2020","unstructured":"Liangyuan Hu , Jiayi Ji , and Fan Li. 2020. Estimating heterogeneous survival treatment effect in observational data using machine learning. arXiv ( 2020 ). Liangyuan Hu, Jiayi Ji, and Fan Li. 2020. Estimating heterogeneous survival treatment effect in observational data using machine learning. arXiv (2020)."},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"crossref","unstructured":"Hemant Ishwaran Udaya B Kogalur Eugene H Blackstone Michael S Lauer etal 2008. Random survival forests. The annals of applied statistics (2008).  Hemant Ishwaran Udaya B Kogalur Eugene H Blackstone Michael S Lauer et al. 2008. Random survival forests. The annals of applied statistics (2008).","DOI":"10.1214\/08-AOAS169"},{"key":"e_1_3_2_1_33_1","volume-title":"Use of electronic health records in US hospitals. New England Journal of Medicine","author":"Jha Ashish K","year":"2009","unstructured":"Ashish K Jha , Catherine M DesRoches , Eric G Campbell , Karen Donelan , Sowmya R Rao , Timothy G Ferris , Alexandra Shields , Sara Rosenbaum , and David Blumenthal . 2009. Use of electronic health records in US hospitals. New England Journal of Medicine ( 2009 ). Ashish K Jha, Catherine M DesRoches, Eric G Campbell, Karen Donelan, Sowmya R Rao, Timothy G Ferris, Alexandra Shields, Sara Rosenbaum, and David Blumenthal. 2009. Use of electronic health records in US hospitals. New England Journal of Medicine (2009)."},{"key":"e_1_3_2_1_34_1","volume-title":"Nonparametric estimation from incomplete observations. Journal of the American statistical association","author":"Kaplan Edward L","year":"1958","unstructured":"Edward L Kaplan and Paul Meier . 1958. Nonparametric estimation from incomplete observations. Journal of the American statistical association ( 1958 ). Edward L Kaplan and Paul Meier. 1958. Nonparametric estimation from incomplete observations. Journal of the American statistical association (1958)."},{"key":"e_1_3_2_1_35_1","volume-title":"DeepSurv: personalized treatment recommender system using a Cox proportional hazards deep neural network. BMC medical research methodology","author":"Katzman Jared L","year":"2018","unstructured":"Jared L Katzman , Uri Shaham , Alexander Cloninger , Jonathan Bates , Tingting Jiang , and Yuval Kluger . 2018. DeepSurv: personalized treatment recommender system using a Cox proportional hazards deep neural network. BMC medical research methodology ( 2018 ). Jared L Katzman, Uri Shaham, Alexander Cloninger, Jonathan Bates, Tingting Jiang, and Yuval Kluger. 2018. DeepSurv: personalized treatment recommender system using a Cox proportional hazards deep neural network. BMC medical research methodology (2018)."},{"key":"e_1_3_2_1_36_1","volume-title":"Survival analysis","author":"Kleinbaum David G","unstructured":"David G Kleinbaum and Mitchel Klein . 2010. Survival analysis . Springer . David G Kleinbaum and Mitchel Klein. 2010. Survival analysis. Springer."},{"key":"e_1_3_2_1_37_1","unstructured":"Changhee Lee William R Zame Ahmed M Alaa and Mihaela van der Schaar. 2019. Temporal Quilting for Survival Analysis. In AISTATS.  Changhee Lee William R Zame Ahmed M Alaa and Mihaela van der Schaar. 2019. Temporal Quilting for Survival Analysis. In AISTATS."},{"key":"e_1_3_2_1_38_1","volume-title":"Deephit: A deep learning approach to survival analysis with competing risks. 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Health affairs","author":"Longhurst Christopher A","year":"2014","unstructured":"Christopher A Longhurst , Robert A Harrington , and Nigam H Shah . 2014. A 'green button'for using aggregate patient data at the point of care. Health affairs ( 2014 ). Christopher A Longhurst, Robert A Harrington, and Nigam H Shah. 2014. A 'green button'for using aggregate patient data at the point of care. Health affairs (2014)."},{"key":"e_1_3_2_1_41_1","unstructured":"B Mihaylova J Emberson L Blackwell A Keech J Simes EH Barnes M Voysey 3A Gray R Collins and C Baigent. 2012. The effects of lowering LDL cholesterol with statin therapy in people at low risk of vascular disease: meta-analysis of individual data from 27 randomised trials.  B Mihaylova J Emberson L Blackwell A Keech J Simes EH Barnes M Voysey 3A Gray R Collins and C Baigent. 2012. The effects of lowering LDL cholesterol with statin therapy in people at low risk of vascular disease: meta-analysis of individual data from 27 randomised trials."},{"key":"e_1_3_2_1_42_1","volume-title":"Machine Learning for Healthcare Conference.","author":"Miscouridou Xenia","year":"2018","unstructured":"Xenia Miscouridou , Adler Perotte , No\u00e9mie Elhadad , and Rajesh Ranganath . 2018 . Deep survival analysis: Nonparametrics and missingness . In Machine Learning for Healthcare Conference. Xenia Miscouridou, Adler Perotte, No\u00e9mie Elhadad, and Rajesh Ranganath. 2018. Deep survival analysis: Nonparametrics and missingness. In Machine Learning for Healthcare Conference."},{"key":"e_1_3_2_1_43_1","volume-title":"Integral probability metrics and their generating classes of functions. Advances in Applied Probability","author":"M\u00fcller Alfred","year":"1997","unstructured":"Alfred M\u00fcller . 1997. Integral probability metrics and their generating classes of functions. Advances in Applied Probability ( 1997 ). Alfred M\u00fcller. 1997. Integral probability metrics and their generating classes of functions. Advances in Applied Probability (1997)."},{"key":"e_1_3_2_1_44_1","volume-title":"Xinyu Rachel Li, and Artur Dubrawski","author":"Nagpal Chirag","year":"2021","unstructured":"Chirag Nagpal , Xinyu Rachel Li, and Artur Dubrawski . 2021 . Deep survival machines: Fully parametric survival regression and representation learning for censored data with competing risks. IEEE Journal of Biomedical and Health Informatics ( 2021). Chirag Nagpal, Xinyu Rachel Li, and Artur Dubrawski. 2021. Deep survival machines: Fully parametric survival regression and representation learning for censored data with competing risks. IEEE Journal of Biomedical and Health Informatics (2021)."},{"key":"e_1_3_2_1_45_1","volume-title":"Machine Learning for Healthcare Conference.","author":"Ranganath Rajesh","year":"2016","unstructured":"Rajesh Ranganath , Adler Perotte , No\u00e9mie Elhadad , and David Blei . 2016 . Deep survival analysis . In Machine Learning for Healthcare Conference. Rajesh Ranganath, Adler Perotte, No\u00e9mie Elhadad, and David Blei. 2016. Deep survival analysis. In Machine Learning for Healthcare Conference."},{"key":"e_1_3_2_1_46_1","doi-asserted-by":"publisher","DOI":"10.5555\/3045118.3045281"},{"key":"e_1_3_2_1_47_1","doi-asserted-by":"publisher","DOI":"10.1016\/0270-0255(86)90088-6"},{"key":"e_1_3_2_1_48_1","volume-title":"The central role of the propensity score in observational studies for causal effects. Biometrika","author":"Rosenbaum Paul R","year":"1983","unstructured":"Paul R Rosenbaum and Donald B Rubin . 1983. 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Statistics in medicine (2009)."},{"key":"e_1_3_2_1_51_1","doi-asserted-by":"publisher","DOI":"10.5555\/3305890.3305999"},{"key":"e_1_3_2_1_52_1","doi-asserted-by":"publisher","DOI":"10.1080\/10543406.2017.1380036"},{"key":"e_1_3_2_1_53_1","volume-title":"Density estimation for statistics and data analysis","author":"Silverman Bernard W","unstructured":"Bernard W Silverman . 1986. Density estimation for statistics and data analysis . CRC press . Bernard W Silverman. 1986. Density estimation for statistics and data analysis. CRC press."},{"key":"e_1_3_2_1_54_1","volume-title":"Nonparametric survival analysis using Bayesian additive regression trees (BART). Statistics in medicine","author":"Sparapani Rodney A","year":"2016","unstructured":"Rodney A Sparapani , Brent R Logan , Robert E McCulloch , and Purushottam W Laud . 2016. Nonparametric survival analysis using Bayesian additive regression trees (BART). Statistics in medicine ( 2016 ). Rodney A Sparapani, Brent R Logan, Robert E McCulloch, and Purushottam W Laud. 2016. Nonparametric survival analysis using Bayesian additive regression trees (BART). Statistics in medicine (2016)."},{"key":"e_1_3_2_1_55_1","volume-title":"Gert RG Lanckriet, et al","author":"Sriperumbudur Bharath K","year":"2012","unstructured":"Bharath K Sriperumbudur , Kenji Fukumizu , Arthur Gretton , Bernhard Sch\u00f6lkopf , Gert RG Lanckriet, et al . 2012 . On the empirical estimation of integral probability metrics. Electronic Journal of Statistics ( 2012). Bharath K Sriperumbudur, Kenji Fukumizu, Arthur Gretton, Bernhard Sch\u00f6lkopf, Gert RG Lanckriet, et al. 2012. On the empirical estimation of integral probability metrics. 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