Comparison of adjusted attributable risk estimators.

Abstract:

:The estimation of attributable risk in the presence of confounding and effect modification is studied in this paper. Different adjustment methods for the attributable risk are reviewed. The results of a stimulation study comparing these methods under the unrestricted multinomial sampling model are reported. From the study it is concluded that the maximum likelihood estimator resulting from the 'case load weighting' of the stratum-specific attributable risk estimates will be the best overall choice in all practical situations with relatively large sample sizes. Other adjusted attributable risk estimators depend heavily on the underlying structure of the multinomial model.

journal_name

Stat Med

journal_title

Statistics in medicine

authors

Gefeller O

doi

10.1002/sim.4780111606

subject

Has Abstract

pub_date

1992-12-01 00:00:00

pages

2083-91

issue

16

eissn

0277-6715

issn

1097-0258

journal_volume

11

pub_type

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