Mark‐Specific Hazard Ratio Model with Multivariate Continuous Marks: An Application to Vaccine Efficacy

DOI10.1111/BIOM.12016zbMath1274.62801OpenAlexW1907075229WikidataQ41991287 ScholiaQ41991287MaRDI QIDQ77966

M. Juraska, P. B. Gilbert, Peter B. Gilbert, Michal Juraska

Publication date: 19 February 2013

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc3940058

zbMATH Keywords

competing risksfailure time dataCox regression modeldensity ratio modelmark variablegenetic datamark-specific vaccine efficacy

Mathematics Subject Classification ID

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

Related Items (4)

A unified evaluation of differential vaccine efficacy ⋮ Predicting overall vaccine efficacy in a new setting by re-calibrating baseline covariate and intermediate response endpoint effect modifiers of type-specific vaccine efficacy ⋮ sievePH ⋮ Leaky vaccines protect highly exposed recipients at a lower rate: implications for vaccine efficacy estimation and sieve analysis

Cites Work

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• Improving the efficiency of the log-rank test using auxiliary covariates
• The 2-sample problem for failure rates depending on a continuous mark: an application to vaccine efficacy
• A Bootstrap Revival of Some Nonparametric Distance Tests
• The Analysis of Failure Times in the Presence of Competing Risks
• Inferences for case-control and semiparametric two-sample density ratio models
• Nonparametric estimation of the joint distribution of survival time and mark variables
• Maximum likelihood estimation in semiparametric selection bias models with application to AIDS vaccine trials
• Proportional hazards tests and diagnostics based on weighted residuals
• A goodness-of-fit test for logistic regression models based on case-control data
• An improved Bonferroni procedure for multiple tests of significance

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