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 Medjournal_title
Statistics in medicineauthors
Gefeller Odoi
10.1002/sim.4780111606subject
Has Abstractpub_date
1992-12-01 00:00:00pages
2083-91issue
16eissn
0277-6715issn
1097-0258journal_volume
11pub_type
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