Application of the Principal Stratification Approach to the Faenza Randomized Experiment on Breast Self‐Examination

DOI10.1111/j.1541-0420.2006.00684.xzbMath1136.62392OpenAlexW2076891566WikidataQ51908325 ScholiaQ51908325MaRDI QIDQ5459587

Fabrizia Mealli, Alessandra Mattei

Publication date: 29 April 2008

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.1541-0420.2006.00684.x

zbMATH Keywords

noncompliancemissing dataRubin causal modeltruncation by death

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (8)

Bayesian Inference for Sequential Treatments Under Latent Sequential Ignorability ⋮ Exploiting multiple outcomes in Bayesian principal stratification analysis with application to the evaluation of a job training program ⋮ Methods for clustered encouragement design studies with noncompliance and missing data ⋮ Comparing principal stratification and selection models in parametric causal inference with nonignorable missingness ⋮ Identification of causal effects in the presence of nonignorable missing outcome values ⋮ Treatment Evaluation With Multiple Outcome Periods Under Endogeneity and Attrition ⋮ Sensitivity Analysis for Principal Stratum Direct Effects, with an Application to a Study of Physical Activity and Coronary Heart Disease ⋮ Augmented Designs to Assess Principal Strata Direct Effects

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• Addressing complications of intention-to-treat analysis in the combined presence of all-or-none treatment-noncompliance and subsequent missing outcomes
• Principal Stratification Approach to Broken Randomized Experiments
• Assessing the effect of an influenza vaccine in an encouragement design
• Analyzing a randomized trial on breast self-examination with noncompliance and missing outcomes
• Multiple Imputation for Model Checking: Completed‐Data Plots with Missing and Latent Data

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