Donald B Rubin
Donald B Rubin
YCMS Tsinghua; Senior Research Fellow at Fox / Temple U, Emeritus at Harvard U
Verified email at temple.edu
Title
Cited by
Cited by
Year
Maximum Likelihood from Incomplete Data Via the EM Algorithm
AP Dempster, NM Laird, DB Rubin
Journal of the Royal Statistical Society: Series B (Methodological) 39 (1), 1-22, 1977
653371977
Statistical analysis with missing data
RJA Little, DB Rubin
John Wiley & Sons, 2019
304612019
Bayesian data analysis
A Gelman, J Carlin, H Stern, DB Rubin
CRC press, 2004
30046*2004
The central role of the propensity score in observational studies for causal effects
PR Rosenbaum, DB Rubin
Biometrika 70 (1), 41-55, 1983
291941983
Multiple imputation for nonresponse in surveys
DB Rubin
John Wiley & Sons, 2004
224622004
Inference from iterative simulation using multiple sequences
A Gelman, DB Rubin
Statistical science 7 (4), 457-472, 1992
136921992
Analysis of survival data
DR Cox, D Oakes
Chapman and Hall/CRC, 2018
110332018
Inference and missing data
DB Rubin
Biometrika 63 (3), 581-592, 1976
106271976
Estimating causal effects of treatments in randomized and nonrandomized studies.
DB Rubin
Journal of educational Psychology 66 (5), 688, 1974
87231974
Statistics and causal inference
PW Holland
Journal of the American statistical Association 81 (396), 945-960, 1986
65131986
Constructing a control group using multivariate matched sampling methods that incorporate the propensity score
PR Rosenbaum, DB Rubin
The American Statistician 39 (1), 33-38, 1985
62651985
Identification of causal effects using instrumental variables
JD Angrist, GW Imbens, DB Rubin
Journal of the American statistical Association 91 (434), 444-455, 1996
61631996
Reducing bias in observational studies using subclassification on the propensity score
PR Rosenbaum, DB Rubin
Journal of the American statistical Association 79 (387), 516-524, 1984
44591984
Multiple imputation after 18+ years
DB Rubin
Journal of the American statistical Association 91 (434), 473-489, 1996
41331996
Testing the number of components in a normal mixture
Y Lo, NR Mendell, DB Rubin
Biometrika 88 (3), 767-778, 2001
34252001
Estimating causal effects from large data sets using propensity scores
DB Rubin
Annals of internal medicine 127 (8_Part_2), 757-763, 1997
30961997
Causal inference in statistics, social, and biomedical sciences
GW Imbens, DB Rubin
Cambridge University Press, 2015
28522015
Bayesian inference for causal effects: The role of randomization
DB Rubin
The Annals of statistics, 34-58, 1978
28031978
Randomization analysis of experimental data: The Fisher randomization test comment
DB Rubin
Journal of the American statistical association 75 (371), 591-593, 1980
2716*1980
Comparing correlated correlation coefficients.
XL Meng, R Rosenthal, DB Rubin
Psychological bulletin 111 (1), 172, 1992
25691992
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Articles 1–20