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 | 64238 | 1977 |
Statistical analysis with missing data RJA Little, DB Rubin John Wiley & Sons, 2019 | 29739 | 2019 |
Bayesian data analysis A Gelman, J Carlin, H Stern, DB Rubin CRC press, 2004 | 29449* | 2004 |
The central role of the propensity score in observational studies for causal effects PR Rosenbaum, DB Rubin Biometrika 70 (1), 41-55, 1983 | 28639 | 1983 |
Multiple imputation for nonresponse in surveys DB Rubin John Wiley & Sons, 2004 | 21987 | 2004 |
Inference from iterative simulation using multiple sequences A Gelman, DB Rubin Statistical science 7 (4), 457-472, 1992 | 13308 | 1992 |
Analysis of survival data DR Cox, D Oakes CRC press, 1984 | 10722 | 1984 |
Inference and missing data DB Rubin Biometrika 63 (3), 581-592, 1976 | 10318 | 1976 |
Estimating causal effects of treatments in randomized and nonrandomized studies. DB Rubin Journal of educational Psychology 66 (5), 688, 1974 | 8524 | 1974 |
Statistics and causal inference PW Holland Journal of the American statistical Association 81 (396), 945-960, 1986 | 6336 | 1986 |
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 | 6132 | 1985 |
Identification of causal effects using instrumental variables JD Angrist, GW Imbens, DB Rubin Journal of the American statistical Association 91 (434), 444-455, 1996 | 6021 | 1996 |
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 | 4376 | 1984 |
Multiple imputation after 18+ years DB Rubin Journal of the American statistical Association 91 (434), 473-489, 1996 | 4043 | 1996 |
Testing the number of components in a normal mixture Y Lo, NR Mendell, DB Rubin Biometrika 88 (3), 767-778, 2001 | 3336 | 2001 |
Estimating causal effects from large data sets using propensity scores DB Rubin Annals of internal medicine 127 (8_Part_2), 757-763, 1997 | 3053 | 1997 |
Causal inference in statistics, social, and biomedical sciences GW Imbens, DB Rubin Cambridge University Press, 2015 | 2769 | 2015 |
Bayesian inference for causal effects: The role of randomization DB Rubin The Annals of statistics, 34-58, 1978 | 2732 | 1978 |
Randomization analysis of experimental data: The Fisher randomization test comment DB Rubin Journal of the American statistical association 75 (371), 591-593, 1980 | 2646* | 1980 |
Comparing correlated correlation coefficients. XL Meng, R Rosenthal, DB Rubin Psychological bulletin 111 (1), 172, 1992 | 2485 | 1992 |