| Statistical analysis with missing data RJA Little, DB Rubin John Wiley & Sons, 2019 | 35628 | 2019 |
| A test of missing completely at random for multivariate data with missing values RJA Little Journal of the American statistical Association 83 (404), 1198-1202, 1988 | 8920 | 1988 |
| Redefine statistical significance DJ Benjamin, JO Berger, M Johannesson, BA Nosek, EJ Wagenmakers, ... Nature human behaviour 2 (1), 6-10, 2018 | 2551 | 2018 |
| Modeling the drop-out mechanism in repeated-measures studies RJA Little Journal of the american statistical association 90 (431), 1112-1121, 1995 | 1828 | 1995 |
| Robust statistical modeling using the t distribution KL Lange, RJA Little, JMG Taylor Journal of the American Statistical Association 84 (408), 881-896, 1989 | 1785 | 1989 |
| Regression with Missing X's: A Review RJA Little Journal of the American statistical association 87 (420), 1227-1237, 1992 | 1708 | 1992 |
| Missing-data adjustments in large surveys RJA Little Journal of Business & Economic Statistics 6 (3), 287-296, 1988 | 1548 | 1988 |
| The analysis of social science data with missing values RJA Little, DB Rubin Sociological methods & research 18 (2-3), 292-326, 1989 | 1534 | 1989 |
| 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 | 1418 | 2012 |
| Pattern-mixture models for multivariate incomplete data RJA Little Journal of the American Statistical Association 88 (421), 125-134, 1993 | 1288 | 1993 |
| A review of hot deck imputation for survey non‐response RR Andridge, RJA Little International statistical review 78 (1), 40-64, 2010 | 1276 | 2010 |
| Statistical analysis with missing data (Vol. 793) RJ Little, DB Rubin John Wiley & Sons, 2019 | 908 | 2019 |
| Causal effects in clinical and epidemiological studies via potential outcomes: concepts and analytical approaches RJ Little, DB Rubin Annual review of public health 21 (1), 121-145, 2000 | 881 | 2000 |
| Survey nonresponse adjustments for estimates of means RJA Little International Statistical Review/Revue Internationale de Statistique, 139-157, 1986 | 726 | 1986 |
| Value of metabolic imaging with positron emission tomography for evaluating prognosis in patients with coronary artery disease and left ventricular dysfunction MF Di Carli, M Davidson, R Little The American journal of cardiology 73 (8), 527-533, 1994 | 667 | 1994 |
| Missing data RJA Little, N Schenker Handbook of statistical modeling for the social and behavioral sciences, 39-75, 1995 | 607 | 1995 |
| Missing values in multivariate analysis EML Beale, RJA Little Journal of the Royal Statistical Society Series B: Statistical Methodology …, 1975 | 566 | 1975 |
| A class of pattern-mixture models for normal incomplete data RJA Little Biometrika 81 (3), 471-483, 1994 | 549 | 1994 |
| Intent-to-treat analysis for longitudinal studies with drop-outs R Little, L Yau Biometrics 52, 1324-1333, 1996 | 508 | 1996 |
| Models for nonresponse in sample surveys RJA Little Journal of the American statistical Association 77 (378), 237-250, 1982 | 485 | 1982 |
Donald B RubinYCMS Tsinghua; Senior Research Fellow at Fox / Temple U, Emeritus at Harvard UVerified email at temple.edu
