Estimating odds ratios adjusting for misclassification in Alzheimer's disease risk factor assessment

Christine L. Emsley, Sujuan Gao, Kathleen Hall, Hugh Hendrie

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

Epidemiological studies of Alzheimer's disease and dementia are often two-phase studies including a screening phase and a clinical assessment phase. It is common to interview a relative of the subject at each of these phases to obtain information about the subject's exposure to risk factors. This can result in a misclassification error when assessing risk factors, as the two responses of the relative often differ. This is especially a problem for risk factors involving life-style and family history which cannot be confirmed using the subject's medical records. A naive analysis using data from each phase separately would give two different estimates of the odds ratio; both estimates could be biased. In this paper, we extend the estimation methods adjusting for misclassification developed by Liu and Liang to data collected through two-phase sampling. We first use a latent class analysis and the EM algorithm to estimate the misclassification parameters. We then derive the maximum pseudo-likelihood estimators, conditional on the misclassification parameters, to estimate the odds ratios accounting for the complex sampling study design. We propose to use the jack-knife estimator for estimation of the variances. We apply the above method to data collected in the Indianapolis-Ibadan Dementia Study to estimate the odds ratio for smoking adjusting for misclassification error. Copyright (C) 2000 John Wiley and Sons, Ltd.

Original languageEnglish
Pages (from-to)1523-1530
Number of pages8
JournalStatistics in Medicine
Volume19
Issue number11-12
StatePublished - Jun 15 2000

Fingerprint

Alzheimer's Disease
Misclassification
Odds Ratio
Risk Factors
Alzheimer Disease
Misclassification Error
Dementia
Estimate
Sampling Studies
Medical Records
Life Style
Epidemiologic Studies
Two-phase Sampling
Latent Class Analysis
Pseudo-maximum Likelihood
Estimator
Smoking
Jackknife
Interviews
Sampling Design

ASJC Scopus subject areas

  • Epidemiology

Cite this

Estimating odds ratios adjusting for misclassification in Alzheimer's disease risk factor assessment. / Emsley, Christine L.; Gao, Sujuan; Hall, Kathleen; Hendrie, Hugh.

In: Statistics in Medicine, Vol. 19, No. 11-12, 15.06.2000, p. 1523-1530.

Research output: Contribution to journalArticle

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