Related Causal Frameworks for Surrogate Outcomes

DOI10.1111/j.1541-0420.2008.01106.xzbMath1167.62086OpenAlexW2158228595WikidataQ46286212 ScholiaQ46286212MaRDI QIDQ3637001

Tom Greene, Marshall M. Joffe

Publication date: 30 June 2009

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.1541-0420.2008.01106.x

zbMATH Keywords

causal inferencerandomized trialsurrogate outcome

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Estimation in survival analysis and censored data (62N02)

Related Items (30)

Comparing Biomarkers as Principal Surrogate Endpoints ⋮ Evaluating Correlation-Based Metric for Surrogate Marker Qualification within a Causal Correlation Framework ⋮ On the relationship between the causal‐inference and meta‐analytic paradigms for the validation of surrogate endpoints ⋮ Sensitivity analysis for evaluating principal surrogate endpoints relaxing the equal early clinical risk assumption ⋮ Causal measures of the treatment effect captured by candidate surrogate endpoints ⋮ Proportion of treatment effect mediated by surrogate endpoints ⋮ Robust Approach to Combining Multiple Markers to Improve Surrogacy ⋮ Testing for Heterogeneity in the Utility of a Surrogate Marker ⋮ Evaluation of longitudinal surrogate markers ⋮ Rejoinder ⋮ Bayesian inference for causal mediation effects using principal stratification with dichotomous mediators and outcomes ⋮ Bayesian Inference for the Causal Effect of Mediation ⋮ Partially Hidden Markov Model for Time-Varying Principal Stratification in HIV Prevention Trials ⋮ A Bayesian Approach to Surrogacy Assessment Using Principal Stratification in Clinical Trials ⋮ A causal framework for surrogate endpoints with semi-competing risks data ⋮ The Identification of Direct and Indirect Effects in Studies with an Unmeasured Intermediate Variable ⋮ Statistical evaluation of surrogate endpoints with examples from cancer clinical trials ⋮ Bayesian methods for multiple mediators: relating principal stratification and causal mediation in the analysis of power plant emission controls ⋮ Equivalence between direct and indirect effects with different sets of intermediate variables and covariates ⋮ Discussion on “Surrogate Measures and Consistent Surrogates” ⋮ Discussion on “Surrogate Measures and Consistent Surrogates” ⋮ Statistical Identifiability and the Surrogate Endpoint Problem, with Application to Vaccine Trials ⋮ An information-theoretic approach for the evaluation of surrogate endpoints based on causal inference ⋮ A Multiple Imputation Approach for the Evaluation of Surrogate Markers in the Principal Stratification Causal Inference Framework ⋮ Augmented Designs to Assess Principal Strata Direct Effects ⋮ Estimation of Direct Effects for Survival Data by using the Aalen Additive Hazards Model ⋮ 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 ⋮ External validity: from do-calculus to transportability across populations

Cites Work

• Unnamed Item
• Defining and estimating intervention effects for groups that will develop an auxiliary outcome
• The foundations of confounding in epidemiology
• The evaluation of surrogate endpoints.
• Principal Stratification in Causal Inference
• Adjusting for Differential Rates of Prophylaxis Therapy for PCP in High-Versus Low-Dose AZT Treatment Arms in an AIDS Randomized Trial
• A new approach to causal inference in mortality studies with a sustained exposure period—application to control of the healthy worker survivor effect
• Structural mean models for compliance analysis in randomized clinical trials and the impact of errors on measures of exposure
• Causal Models for Randomized Physician Encouragement Trials in Treating Primary Care Depression

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