Comparing Biomarkers as Principal Surrogate Endpoints

DOI10.1111/J.1541-0420.2011.01603.XzbMath1274.62793OpenAlexW2002963026WikidataQ28740935 ScholiaQ28740935MaRDI QIDQ2893405

Ying Huang, Peter B. Gilbert

Publication date: 20 June 2012

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc3163011

zbMATH Keywords

semiparametricprincipal stratificationpredictiveness curveestimated likelihoodsurrogate markertotal gain

Mathematics Subject Classification ID

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

Related Items (10)

A unified evaluation of differential vaccine efficacy ⋮ Evaluating multiple surrogate markers with censored data ⋮ Robust Approach to Combining Multiple Markers to Improve Surrogacy ⋮ Testing for Heterogeneity in the Utility of a Surrogate Marker ⋮ Assessing the value of a censored surrogate outcome ⋮ A Multiple Imputation Approach for the Evaluation of Surrogate Markers in the Principal Stratification Causal Inference Framework ⋮ Identification of causal effects within principal strata using auxiliary variables ⋮ Design and Estimation for Evaluating Principal Surrogate Markers in Vaccine Trials ⋮ Evaluating principal surrogate markers in vaccine trials in the presence of multiphase sampling ⋮ Surrogate Measures and Consistent Surrogates

Cites Work

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• Principal Stratification in Causal Inference
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• A Bayesian Approach to Surrogacy Assessment Using Principal Stratification in Clinical Trials
• Related Causal Frameworks for Surrogate Outcomes
• The validation of surrogate endpoints in meta-analyses of randomized experiments
• Semiparametric Estimation of Regression Quantiles with Application to Standardizing Weight for Height and Age in US Children
• Augmented Designs to Assess Immune Response in Vaccine Trials
• Weighted Likelihood for Semiparametric Models and Two‐phase Stratified Samples, with Application to Cox Regression
• Evaluating the Predictiveness of a Continuous Marker

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