Literature DB >> 3605051

Predictors of atherosclerosis in the Honolulu Heart Program. II. Adjustment for autopsy bias.

C J MacLean, D M Reed.   

Abstract

Although autopsy is considered the final word on many medical questions, there has long been concern over possible bias in inference about a living population from analysis of autopsy material. Focus of the present paper is on the relationship between results obtainable only at autopsy and risk factors recorded as part of a prospective study of the entire "target population." Since pathologies are sure to be overrepresented in an autopsy sample compared to the target population, the dependence of autopsy scores upon risk factors may be distorted in the autopsy sample. The present paper proposes a method of adjustment for this bias. When both autopsy sample and target population can be stratified by major disease categories, under certain assumptions of equal effect, adjustment similar to the direct method for age adjustment may be applied. If, in addition, dependence can be characterized accurately by linear regression of both autopsy score and disease category frequency onto risk factors, then a very convenient calculation produces adjusted regression coefficients. This "parametric" method usually provides the most convenient results, with the greatest statistical power.

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Year:  1987        PMID: 3605051     DOI: 10.1093/aje/126.2.226

Source DB:  PubMed          Journal:  Am J Epidemiol        ISSN: 0002-9262            Impact factor:   4.897


  3 in total

1.  Potential problems in the use of necropsy data in epidemiologic research.

Authors:  E J Boyko
Journal:  J Gen Intern Med       Date:  1990 Nov-Dec       Impact factor: 5.128

2.  Prevalence, control and awareness of high blood pressure among Canadian adults. Canadian Heart Health Surveys Research Group.

Authors:  M R Joffres; P Hamet; S W Rabkin; D Gelskey; K Hogan; G Fodor
Journal:  CMAJ       Date:  1992-06-01       Impact factor: 8.262

3.  Adjustment for selection bias in observational studies with application to the analysis of autopsy data.

Authors:  S Haneuse; J Schildcrout; P Crane; J Sonnen; J Breitner; E Larson
Journal:  Neuroepidemiology       Date:  2009-01-29       Impact factor: 3.282

  3 in total

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