Patient-specific meta-analysis for risk assessment using multivariate proportional hazards regression

Michael R. Crager and Gong Tang

Journal of Applied Statistics, 2014, vol. 41, issue 12, 2676-2695

Abstract: We propose a method for assessing an individual patient's risk of a future clinical event using clinical trial or cohort data and Cox proportional hazards regression, combining the information from several studies using meta-analysis techniques. The method combines patient-specific estimates of the log cumulative hazard across studies, weighting by the relative precision of the estimates, using either fixed- or random-effects meta-analysis calculations. Risk assessment can be done for any future patient using a few key summary statistics determined once and for all from each study. Generalizations of the method to logistic regression and linear models are immediate. We evaluate the methods using simulation studies and illustrate their application using real data.

Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:taf:japsta:v:41:y:2014:i:12:p:2676-2695

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DOI: 10.1080/02664763.2014.925102

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