Variance estimators for attributable fraction estimates consistent in both large strata and sparse data.

Abstract:

:A number of variance formulae for the attributable fraction have been presented, but none is consistent in sparse data, such as found in individually matched case-control studies. This paper employs Mantel-Haenszel estimation to derive variance estimators for attributable fractions that are dually consistent, that is, consistent in both sparse data and large strata. The method may also be applied using conditional maximum likelihood. Extensions of these estimators to situations involving effect modification and preventive exposures are also derived. Examples of applications to individually matched case-control studies are given.

journal_name

Stat Med

journal_title

Statistics in medicine

authors

Greenland S

doi

10.1002/sim.4780060607

subject

Has Abstract

pub_date

1987-09-01 00:00:00

pages

701-8

issue

6

eissn

0277-6715

issn

1097-0258

journal_volume

6

pub_type

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