Elizabeth A. Stuart, Ph.D.

Affiliations: 
2004 Harvard University, Cambridge, MA, United States 
Area:
Statistics
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"Elizabeth Stuart"

Parents

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Donald B. Rubin grad student 2004 Harvard
 (Matching methods for estimating causal effects using multiple control groups.)

Collaborators

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Brian K Lee collaborator (Epi Tree)
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Publications

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Dong N, Stuart EA, Lenis D, et al. (2020) Using Propensity Score Analysis of Survey Data to Estimate Population Average Treatment Effects: A Case Study Comparing Different Methods. Evaluation Review. 44: 84-108
Dahabreh IJ, Robertson SE, Steingrimsson JA, et al. (2020) Extending inferences from a randomized trial to a new target population. Statistics in Medicine
Amoah J, Stuart EA, Cosgrove SE, et al. (2020) Comparing Propensity Score Methods versus Traditional Regression Analysis for the Evaluation of Observational Data: A Case Study Evaluating the Treatment of Gram-Negative Bloodstream Infections. Clinical Infectious Diseases : An Official Publication of the Infectious Diseases Society of America
Schmid I, Rudolph KE, Nguyen TQ, et al. (2020) Comparing the performance of statistical methods that generalize effect estimates from randomized controlled trials to much larger target populations Communications in Statistics - Simulation and Computation. 1-23
Rudolph KE, Goin DE, Paksarian D, et al. (2018) Causal Mediation Analysis With Observational Data: Considerations and Illustration Examining Mechanisms Linking Neighborhood Poverty to Adolescent Substance Use. American Journal of Epidemiology
Dahabreh IJ, Robertson SE, Tchetgen EJT, et al. (2018) Generalizing causal inferences from individuals in randomized trials to all trial-eligible individuals. Biometrics
Ackerman B, Schmid I, Rudolph KE, et al. (2018) Implementing statistical methods for generalizing randomized trial findings to a target population. Addictive Behaviors
Stuart EA, Ackerman B, Westreich D. (2018) Generalizability of randomized trial results to target populations: Design and analysis possibilities. Research On Social Work Practice. 28: 532-537
Lenis D, Ackerman B, Stuart EA. (2018) Measuring Model Misspecification: Application to Propensity Score Methods with Complex Survey Data. Computational Statistics & Data Analysis. 128: 48-57
Mitchell S, Gelman A, Ross R, et al. (2018) The Millennium Villages Project: a retrospective, observational, endline evaluation. The Lancet. Global Health. 6: e500-e513
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