Meta-analysis of binary outcomes from two-by-two tables when the length of follow-up varies and hazards are proportional.

Autor: Combescure, C, Courvoisier, DS, Haller, G, Perneger, TV
Předmět:
Zdroj: Statistical Methods in Medical Research; Oct2011, Vol. 20 Issue 5, p531-540, 10p, 1 Chart, 3 Graphs
Abstrakt: Odds ratios (ORs) and relative risks (RRs) are sensitive to the length of follow-up. In meta-analyses, pooling such results from studies with different lengths of follow-up may lead to an artificial heterogeneity and discrepancy caused by the choice of the summary index. In this article, we explore the utility of a meta-analysis method that uses the ratio of logarithms of survival probability as the measure of association, and that avoids the problems mentioned above when hazards are proportional. Meta-analyses of ORs, RRs and ratios of logarithms of survival probability are compared through a simulation study, in which data are simulated from a proportional hazard model and the length of follow-up varies across studies using realistic patterns of variability. Results show that the heterogeneity increases with the variability of length of follow-up for OR and RR, but not for the ratio of the logarithms of survival probability. A published meta-analysis is used to illustrate the method. [ABSTRACT FROM PUBLISHER]
Databáze: Complementary Index