Elizabeth A. Stuart
Impact in
- Statistics and Probability top 0.02%
- Advanced Causal Inference Techniques
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
- Statistical Methods in Clinical Trials
- Clinical Psychology top 0.2%
- Child and Adolescent Psychosocial and Emotional Development
Papers in
-
- Advanced Causal Inference Techniques 130
- Statistical Methods and Bayesian Inference 63
- Statistical Methods and Inference 43
- Statistical Methods in Clinical Trials 27
-
- Child and Adolescent Psychosocial and Emotional Development 17
- Co-authors
- Peter C. Austin (6 shared papers)Kosuke Imai (5 shared papers)Gary King (5 shared papers)Daniel E. Ho (3 shared papers)Philip J. Leaf (6 shared papers)Melissa J. Azur (3 shared papers)Constantine Frangakis (2 shared papers)Brian K. Lee (3 shared papers)
- Journals
- American Journal of Epidemiology (21 papers)Statistics in Medicine (16 papers)Drug and Alcohol Dependence (14 papers)Psychiatric Services (11 papers)Prevention Science (9 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Elizabeth A. Stuart
434 papers receiving 34.0k citations
Elizabeth A. Stuart's Hit Papers
Peers
Comparison fields: 5 of 218
- Statistics and Probability 5.3k
- Clinical Psychology 3.7k
- Health 1.2k
- Economics and Econometrics 4.0k
- General Health Professions 2.7k
Countries citing papers authored by Elizabeth A. Stuart
This map shows the geographic impact of Elizabeth A. Stuart's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Elizabeth A. Stuart with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elizabeth A. Stuart more than expected).
Fields of papers citing papers by Elizabeth A. Stuart
This network shows the impact of papers produced by Elizabeth A. Stuart. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Elizabeth A. Stuart. The network helps show where Elizabeth A. Stuart may publish in the future.
Co-authors
The 25 scholars most cited alongside Elizabeth A. Stuart, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 453 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Matching Methods for Causal Inference: A Review and a Look Forward Hit paper breakdown → | 2010 | 3913 |
| 2 | MatchIt : Nonparametric Preprocessing for Parametric Causal Inference Hit paper breakdown → | 2011 | 3338 |
| 3 | Moving towards best practice when using inverse probability of treatment weighting (IPTW) using the propensity score to estimate causal treatment effects in observational studies Hit paper breakdown → | 2015 | 3299 |
| 4 | Matching as Nonparametric Preprocessing for Reducing Model Dependence in Parametric Causal Inference Hit paper breakdown → | 2007 | 3074 |
| 5 | Multiple imputation by chained equations: what is it and how does it work? Hit paper breakdown → | 2011 | 2611 |
| 6 | Propensity score techniques and the assessment of measured covariate balance to test causal associations in psychological research. Hit paper breakdown → | 2010 | 657 |
| 7 | Improving propensity score weighting using machine learning Hit paper breakdown → | 2009 | 656 |
| 8 | Prognostic score–based balance measures can be a useful diagnostic for propensity score methods in comparative effectiveness research Hit paper breakdown → | 2013 | 598 |
| 9 | Generalizing Observational Study Results: Applying Propensity Score Methods to Complex Surveys Hit paper breakdown → | 2013 | 476 |
| 10 | Multiple Imputation Hit paper breakdown → | 2015 | 450 |
| 11 | Using propensity scores in difference-in-differences models to estimate the effects of a policy change Hit paper breakdown → | 2014 | 404 |
| 12 | 2011 | 387 | |
| 13 | 2010 | 378 | |
| 14 | 2010 | 374 | |
| 15 | 2008 | 268 | |
| 16 | 2010 | 261 | |
| 17 | 2012 | 260 | |
| 18 | 2008 | 249 | |
| 19 | 2015 | 247 | |
| 20 | 2017 | 228 |
About Elizabeth A. Stuart
Elizabeth A. Stuart is a scholar working on Statistics and Probability, Clinical Psychology, Economics and Econometrics, General Health Professions and Public Health, Environmental and Occupational Health, having authored 453 papers that have together received 35.3k indexed citations. Recurring topics across this work include Advanced Causal Inference Techniques (130 papers), Statistical Methods and Bayesian Inference (63 papers), Health Systems, Economic Evaluations, Quality of Life (44 papers), Statistical Methods and Inference (43 papers), Healthcare Policy and Management (31 papers), Opioid Use Disorder Treatment (31 papers), Statistical Methods in Clinical Trials (27 papers) and Child and Adolescent Psychosocial and Emotional Development (17 papers). The work is most often cited by research in Statistics and Probability (5.3k citations), Clinical Psychology (3.7k citations), Health (1.2k citations), Economics and Econometrics (4.0k citations) and General Health Professions (2.7k citations). Elizabeth A. Stuart has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Peter C. Austin, Kosuke Imai, Gary King, Daniel E. Ho, Philip J. Leaf, Melissa J. Azur, Constantine Frangakis, Brian K. Lee, Justin Lessler and Donald B. Rubin. Their work appears in journals such as American Journal of Epidemiology, Statistics in Medicine, Drug and Alcohol Dependence, Psychiatric Services and Prevention Science.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.