BIAS IN THE ONE-STEP METHOD FOR POOLING STUDY RESULTS

被引：103

作者：

GREENLAND, S

SALVAN, A

机构：

[1] Department of Epidemiology, UCLA School of Public Health, Los Angeles, California

来源：

STATISTICS IN MEDICINE | 1990年 / 9卷 / 03期

关键词：

D O I：

10.1002/sim.4780090307

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

The one‐step (Peto) method for obtaining pooled effect estimates can yield extremely biased results when applied to unbalanced data. Even for balanced studies, the one‐step estimate may incorporate an unacceptable degree of bias. In place of the one‐step estimate, we recommend use of ordinary Mantel‐Haenszel, weighted least squares, or maximum likelihood estimates whenever the total number of events is adequate for such methods. If the total number of events is small, we recommend exact methods. Copyright © 1990 John Wiley & Sons, Ltd.

引用

页码：247 / 252

页数：6

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