Case-control analysis with a continuous outcome variable.

Abstract:

:It is not uncommon for a continuous outcome variable Y to be dichotomized and analysed using logistic regression. Moser and Coombs (Statist. Med. 2004; 23:1843-1860) provide a method for converting the output from a standard linear regression analysis using the original continuous outcome Y to give much more efficient inferences about the same odds-ratio parameters being estimated by the logistic regression. However, these results apply only to prospective studies. This paper follows up Moser and Coombs by providing an efficient linear-model-based solution for data collected using case-control studies. Gains in statistical efficiency of up to 240 per cent are obtained even with small to moderate odds ratios. Differences in design efficiency between case-control and prospective sampling designs are found to be much smaller, however, when linear-model-based analyses are being used than they are when logistic regression analyses are being used.

journal_name

Stat Med

journal_title

Statistics in medicine

authors

Jiang Y,Scott A,Wild CJ

doi

10.1002/sim.3474

subject

Has Abstract

pub_date

2009-01-30 00:00:00

pages

194-204

issue

2

eissn

0277-6715

issn

1097-0258

journal_volume

28

pub_type

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