Semiparametric Estimation and Inference for Distributional and General Treatment Effects

DOI10.1111/j.1467-9868.2009.00715.xzbMath1248.62045OpenAlexW2030344798MaRDI QIDQ2920287

Jing Qin, Biao Zhang, Jing Cheng

Publication date: 16 October 2012

Published in: Journal of the Royal Statistical Society Series B: Statistical Methodology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.1467-9868.2009.00715.x

zbMATH Keywords

causal effectsempirical likelihoodinstrumental variablesmixture modelsnon-compliancerandomized trialsexponential tilt model

Mathematics Subject Classification ID

Related Items (11)

Full matching approach to instrumental variables estimation with application to the effect of malaria on stunting ⋮ Inference for the Effect of Treatment on Survival Probability in Randomized Trials with Noncompliance and Administrative Censoring ⋮ Spectral Density Ratio Models for Multivariate Extremes ⋮ Instrumental variable estimation of complier causal treatment effect with interval‐censored data ⋮ Semiparametric models and inference for the effect of a treatment when the outcome is nonnegative with clumping at zero ⋮ Instrumental Variable Estimation of the Causal Hazard Ratio ⋮ A nonparametric binomial likelihood approach for causal inference in instrumental variable models ⋮ Compliance Mixture Modelling with a Zero‐Effect Complier Class and Missing Data ⋮ Estimating the causal effects in randomized trials for survival data with a cure fraction and non compliance ⋮ Causal inference for recurrent events data with all-or-none compliance ⋮ Dissonant Conclusions When Testing the Validity of an Instrumental Variable

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