Comparing principal stratification and selection models in parametric causal inference with nonignorable missingness
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Publication:961144
DOI10.1016/j.csda.2008.09.005zbMath1301.62130OpenAlexW2012443417WikidataQ130547071 ScholiaQ130547071MaRDI QIDQ961144
Barbara Pacini, Fabrizia Mealli
Publication date: 30 March 2010
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.csda.2008.09.005
Related Items (4)
Estimation of Causal Effects in Latent Strata with an Encouragement for Response ⋮ Estimation of a regression spline sample selection model ⋮ Semi-parametric copula sample selection models for count responses ⋮ Exploiting multiple outcomes in Bayesian principal stratification analysis with application to the evaluation of a job training program
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