Donald B. Rubin
Affiliations: | 1984- | Harvard University, Cambridge, MA, United States |
Area:
StatisticsWebsite:
https://statistics.fas.harvard.edu/people/donald-b-rubinGoogle:
"Donald Bruce Rubin"Bio:
http://www.nasonline.org/member-directory/members/51009.html
https://arxiv.org/pdf/1404.1789.pdf
https://statistics.fas.harvard.edu/files/statistics/files/rubin-cv-august2017.pdf
https://azepdf.com/statistics-department-master-list-phd-dissertations.html
Parents
Sign in to add mentorAnthony Gervin Oettinger | grad student | 1966 | Harvard (Computer Science Tree) | |
(M.S.) | ||||
William Gemmell Cochran | grad student | 1970 | Harvard (Physics Tree) | |
(The use of matched sampling and regression adjustment in observational studies.) |
Children
Sign in to add traineeDaniel F. Heitjan | grad student | 1985 | Chicago |
Daniel F. Heitjan | grad student | 1985 | Chicago |
Andrew Gelman | grad student | 1990 | Harvard |
Xiao-Li Meng | grad student | 1990 | Harvard |
Thomas R. Belin | grad student | 1991 | Harvard |
Ralph B. D'Agostino | grad student | 1994 | Harvard |
Igor Perisic | grad student | 2000 | Harvard |
Zijin Shen | grad student | 2000 | Harvard |
Junni L. Zhang | grad student | 2002 | Harvard |
Elizabeth A. Stuart | grad student | 2004 | Harvard |
Yaming Yu | grad student | 2005 | Harvard |
Hui Jin | grad student | 2006 | Harvard |
Alexis Diamond | grad student | 2008 | Harvard (Econometree) |
Charity J. Morgan | grad student | 2008 | Harvard |
Yves Chretien | grad student | 2010 | Harvard |
Roee Gutman | grad student | 2011 | Harvard |
Kari F. Lock | grad student | 2011 | Harvard |
Cassandra W. Pattanayak | grad student | 2011 | Harvard |
Bronwyn W. Loong | grad student | 2012 | Harvard |
Valeria Espinosa | grad student | 2013 | Harvard |
Viktoriia Liublinska | grad student | 2013 | Harvard |
Arman Sabbaghi | grad student | 2014 | Harvard |
Rui Dong | post-doc | 2020-2023 | Tsinghua University (Beijing) (Neurotree) |
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Publications
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Huang D, Stein N, Rubin DB, et al. (2020) Catalytic prior distributions with application to generalized linear models. Proceedings of the National Academy of Sciences of the United States of America |
Bojinov II, Pillai NS, Rubin DB. (2019) Diagnosing missing always at random in multivariate data Biometrika. 107: 246-253 |
Austin PC, Thomas N, Rubin DB. (2018) Covariate-adjusted survival analyses in propensity-score matched samples: Imputing potential time-to-event outcomes. Statistical Methods in Medical Research. 962280218817926 |
Li X, Ding P, Rubin DB. (2018) Asymptotic theory of rerandomization in treatment-control experiments. Proceedings of the National Academy of Sciences of the United States of America |
Mukerjee R, Dasgupta T, Rubin DB. (2018) Using Standard Tools From Finite Population Sampling to Improve Causal Inference for Complex Experiments Journal of the American Statistical Association. 113: 868-881 |
Bind MC, Rubin DB. (2017) Bridging observational studies and randomized experiments by embedding the former in the latter. Statistical Methods in Medical Research. 962280217740609 |
George BJ, Li P, Lieberman HR, et al. (2017) Randomization to Randomization Probability: Estimating Treatment Effects Under Actual Conditions of Use. Psychological Methods |
Walicke P, Abosch A, Asher A, et al. (2017) Launching Effectiveness Research to Guide Practice in Neurosurgery: A National Institute Neurological Disorders and Stroke Workshop Report. Neurosurgery. 80: 505-514 |
Loong B, Rubin DB. (2017) Multiply-Imputed Synthetic Data: Advice to the Imputer Journal of Official Statistics. 33: 1005-1019 |
Little RJ, Rubin DB, Zangeneh SZ. (2017) Conditions for Ignoring the Missing-Data Mechanism in Likelihood Inferences for Parameter Subsets Journal of the American Statistical Association. 112: 314-320 |