Propensity Score Analysis with Partially Observed Baseline Covariates: A Practical Comparison of Methods for Handling Missing Data
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- Jiang, Wei & Josse, Julie & Lavielle, Marc, 2020. "Logistic regression with missing covariates—Parameter estimation, model selection and prediction within a joint-modeling framework," Computational Statistics & Data Analysis, Elsevier, vol. 145(C).
- Kosuke Imai & Marc Ratkovic, 2014. "Covariate balancing propensity score," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 76(1), pages 243-263, January.
- Ben B. Hansen, 2004. "Full Matching in an Observational Study of Coaching for the SAT," Journal of the American Statistical Association, American Statistical Association, vol. 99, pages 609-618, January.
- Alessandra Mattei, 2009. "Estimating and using propensity score in presence of missing background data: an application to assess the impact of childbearing on wellbeing," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 18(2), pages 257-273, July.
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- Emily Mena & Katharina Stahlmann & Klaus Telkmann & Gabriele Bolte & on behalf of the AdvanceGender Study Group, 2023. "Intersectionality-Informed Sex/Gender-Sensitivity in Public Health Monitoring and Reporting (PHMR): A Case Study Assessing Stratification on an “Intersectional Gender-Score”," IJERPH, MDPI, vol. 20(3), pages 1-15, January.
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Keywords
propensity score; missing data; non-interventional studies;All these keywords.
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