Patient-specific meta-analysis for risk assessment using multivariate proportional hazards regression
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.
Keywords: Cox proportional hazards regression; meta-analysis; patient-specific meta-analysis; risk assessment
Document Type: Research Article
Affiliations: 1: Department of Biostatistics, Genomic Health, Inc, ., 301 Penobscot Drive, Redwood City, CA, 94063, USA 2: Department of Biostatistics, Graduate School of Public Health, University of Pittsburgh, 130 DeSoto Street, Pittsburgh, PA, 15261, USA
Publication date: 02 December 2014
- Access Key
- Free content
- Partial Free content
- New content
- Open access content
- Partial Open access content
- Subscribed content
- Partial Subscribed content
- Free trial content