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Biometrics. 1994 Dec;50(4):989-1002.

Iterative generalized least squares for meta-analysis of survival data at multiple times.

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Technology Assessment Group, Harvard School of Public Health, Boston, Massachusetts 02115.


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.

[Indexed for MEDLINE]

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