Estimation of regression coefficients when some regressors are not always observed JM Robins, A Rotnitzky, LP Zhao Journal of the American statistical Association 89 (427), 846-866, 1994 | 3629 | 1994 |
Weight gain as a risk factor for clinical diabetes mellitus in women GA Colditz, WC Willett, A Rotnitzky, JAE Manson Annals of internal medicine 122 (7), 481-486, 1995 | 3249 | 1995 |
The prevention and treatment of missing data in clinical trials RJ Little, R D'agostino, ML Cohen, K Dickersin, SS Emerson, JT Farrar, ... New England Journal of Medicine 367 (14), 1355-1360, 2012 | 2238* | 2012 |
Analysis of semiparametric regression models for repeated outcomes in the presence of missing data JM Robins, A Rotnitzky, LP Zhao Journal of the american statistical association 90 (429), 106-121, 1995 | 2002 | 1995 |
Adjusting for nonignorable drop-out using semiparametric nonresponse models DO Scharfstein, A Rotnitzky, JM Robins Journal of the American Statistical Association 94 (448), 1096-1120, 1999 | 1534 | 1999 |
Semiparametric efficiency in multivariate regression models with missing data JM Robins, A Rotnitzky Journal of the American Statistical Association 90 (429), 122-129, 1995 | 1387 | 1995 |
Recovery of information and adjustment for dependent censoring using surrogate markers JM Robins, A Rotnitzky AIDS epidemiology: methodological issues, 297-331, 1992 | 837 | 1992 |
Sensitivity analysis for selection bias and unmeasured confounding in missing data and causal inference models JM Robins, A Rotnitzky, DO Scharfstein Statistical models in epidemiology, the environment, and clinical trials, 1-94, 2000 | 595 | 2000 |
Semiparametric regression for repeated outcomes with nonignorable nonresponse A Rotnitzky, JM Robins, DO Scharfstein Journal of the american statistical association 93 (444), 1321-1339, 1998 | 580 | 1998 |
Hypothesis testing of regression parameters in semiparametric generalized linear models for cluster correlated data A Rotnitzky, NP Jewell Biometrika 77 (3), 485-497, 1990 | 531 | 1990 |
Comment: Performance of double-robust estimators when" inverse probability" weights are highly variable J Robins, M Sued, Q Lei-Gomez, A Rotnitzky Statistical Science 22 (4), 544-559, 2007 | 471 | 2007 |
The relationship of bone and blood lead to hypertension: the Normative Aging Study H Hu, A Aro, M Payton, S Korrick, D Sparrow, ST Weiss, A Rotnitzky Jama 275 (15), 1171-1176, 1996 | 406 | 1996 |
Regression models for discrete longitudinal responses GM Fitzmaurice, NM Laird, AG Rotnitzky Statistical Science, 284-299, 1993 | 400 | 1993 |
A longitudinal study of low-level lead exposure and impairment of renal function: the normative aging study R Kim, A Rotnitzky, D Sparrow, ST Weiss, C Wager, H Hu Jama 275 (15), 1177-1181, 1996 | 315 | 1996 |
Estimation and extrapolation of optimal treatment and testing strategies J Robins, L Orellana, A Rotnitzky Statistics in medicine 27 (23), 4678-4721, 2008 | 285 | 2008 |
Dynamic regime marginal structural mean models for estimation of optimal dynamic treatment regimes, part I: main content L Orellana, A Rotnitzky, JM Robins The international journal of biostatistics 6 (2), 2010 | 270 | 2010 |
Comment on the Bickel and Kwon article,“Inference for semiparametric models: Some questions and an answer” JM Robins, A Rotnitzky Statistica Sinica 11 (4), 920-936, 2001 | 266 | 2001 |
Semiparametric regression estimation in the presence of dependent censoring A Rotnitzky, JM Robins Biometrika 82 (4), 805-820, 1995 | 229 | 1995 |
Analysis of semi‐parametric regression models with non‐ignorable non‐response A Rotnitzky, J Robins Statistics in medicine 16 (1), 81-102, 1997 | 219 | 1997 |
Likelihood-based inference with singular information matrix A Rotnitzky, DR Cox, M Bottai, J Robins | 215 | 2000 |