| Matching methods for causal inference: A review and a look forward EA Stuart Statistical science: a review journal of the Institute of Mathematical …, 2010 | 6386 | 2010 |
| Matching as nonparametric preprocessing for reducing model dependence in parametric causal inference DE Ho, K Imai, G King, EA Stuart Political analysis 15 (3), 199-236, 2007 | 5400 | 2007 |
| MatchIt: nonparametric preprocessing for parametric causal inference EA Stuart, G King, K Imai, D Ho Journal of statistical software, 2011 | 5005 | 2011 |
| Moving towards best practice when using inverse probability of treatment weighting (IPTW) using the propensity score to estimate causal treatment effects in observational studies PC Austin, EA Stuart Statistics in medicine 34 (28), 3661-3679, 2015 | 3948 | 2015 |
| Multiple imputation by chained equations: what is it and how does it work? MJ Azur, EA Stuart, C Frangakis, PJ Leaf International journal of methods in psychiatric research 20 (1), 40-49, 2011 | 3679 | 2011 |
| Misunderstandings between experimentalists and observationalists about causal inference K Imai, G King, EA Stuart Journal of the Royal Statistical Society Series A: Statistics in Society 171 …, 2008 | 1271 | 2008 |
| Improving propensity score weighting using machine learning BK Lee, J Lessler, EA Stuart Statistics in medicine 29 (3), 337-346, 2010 | 1077 | 2010 |
| Propensity score techniques and the assessment of measured covariate balance to test causal associations in psychological research. VS Harder, EA Stuart, JC Anthony Psychological methods 15 (3), 234, 2010 | 937 | 2010 |
| Prognostic score–based balance measures can be a useful diagnostic for propensity score methods in comparative effectiveness research EA Stuart, BK Lee, FP Leacy Journal of clinical epidemiology 66 (8), S84-S90. e1, 2013 | 703 | 2013 |
| Generalizing observational study results: applying propensity score methods to complex surveys EH DuGoff, M Schuler, EA Stuart Health services research 49 (1), 284-303, 2014 | 681 | 2014 |
| Using propensity scores in difference-in-differences models to estimate the effects of a policy change EA Stuart, HA Huskamp, K Duckworth, J Simmons, Z Song, ME Chernew, ... Health Services and Outcomes Research Methodology 14, 166-182, 2014 | 630 | 2014 |
| The use of propensity scores to assess the generalizability of results from randomized trials EA Stuart, SR Cole, CP Bradshaw, PJ Leaf Journal of the Royal Statistical Society Series A: Statistics in Society 174 …, 2011 | 628 | 2011 |
| Best practices in quasi-experimental designs EA Stuart, DB Rubin Best practices in quantitative methods, 155-176, 2008 | 621 | 2008 |
| Weight trimming and propensity score weighting BK Lee, J Lessler, EA Stuart PloS one 6 (3), e18174, 2011 | 613 | 2011 |
| Generalizing evidence from randomized clinical trials to target populations: the ACTG 320 trial SR Cole, EA Stuart American journal of epidemiology 172 (1), 107-115, 2010 | 591 | 2010 |
| Multiple imputation: a flexible tool for handling missing data P Li, EA Stuart, DB Allison Jama 314 (18), 1966-1967, 2015 | 560 | 2015 |
| Intervention targeting development of socially synchronous engagement in toddlers with autism spectrum disorder: A randomized controlled trial RJ Landa, KC Holman, AH O’Neill, EA Stuart Journal of Child Psychology and Psychiatry 52 (1), 13-21, 2011 | 480 | 2011 |
| Developmental trajectories in children with and without autism spectrum disorders: the first 3 years RJ Landa, AL Gross, EA Stuart, A Faherty Child development 84 (2), 429-442, 2013 | 439 | 2013 |
| A potential outcomes view of value-added assessment in education DB Rubin, EA Stuart, EL Zanutto Journal of educational and behavioral statistics 29 (1), 103-116, 2004 | 420 | 2004 |
| The association between mental health, stress, and coping supports in mothers of children with autism spectrum disorders B Zablotsky, CP Bradshaw, EA Stuart Journal of autism and developmental disorders 43, 1380-1393, 2013 | 411 | 2013 |
Gary KingAlbert J Weatherhead III University Professor, Harvard University在 harvard.edu 的电子邮件经过验证