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Estimation of cumulative odds ratios.

Abstract：

PURPOSE:Standard estimation of ordered odds ratios requires the constraint that the etiologic effects of exposure are homogenous across thresholds of the ordered response. We present a method to relax this often-unrealistic constraint. METHODS:The kernel of the proposed method is the expansion of observed data into "person-thresholds." Using standard statistical software, for each subject we create a separate record for each response threshold and then apply binary logistic regression to estimate generalized cumulative odds ratios for one or more exposures. RESULTS:Two examples demonstrate that the proposed method provides increased flexibility in assessing the etiologic effects of exposures. A Monte Carlo simulation study supports the proposed approach by suggesting the estimated cumulative odds ratios are unbiased with proper confidence interval coverage attained by use of generalized estimating equations. CONCLUSION:The proposed method provides simple estimates of ordered odds ratios that allow the etiologic effects of exposure to vary across levels of the ordered response.

journal_name

Ann Epidemiol

journal_title

Annals of epidemiology

authors

Cole SR,Allison PD,Ananth CV

doi

10.1016/j.annepidem.2003.08.003

keywords:

subject

Has Abstract

pub_date

2004-03-01 00:00:00

pages

172-8

issue

3

eissn

1047-2797

issn

1873-2585

pii

S1047279703002795

journal_volume

14

pub_type

杂志文章

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