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Iterative Generalized Least Squares for Meta-Analysis of Survival Data at Multiple Times
Keith B. G. Dear
Vol. 50, No. 4 (Dec., 1994), pp. 989-1002
Published by: International Biometric Society
Stable URL: http://www.jstor.org/stable/2533438
Page Count: 14
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A method is presented for joint analysis of survival proportions reported at multiple times in published studies to be combined in a meta-analysis. Generalized least squares is used to fit linear models including between-trial and within-trial covariates, using current fitted values iteratively to derive correlations between times within studies. Multi-arm studies and nonrandomized historical controls can be included with no special handling. The method is illustrated with data from two previously published meta-analyses. In one, an early treatment difference is detected that was not apparent in the original analysis.
Biometrics © 1994 International Biometric Society