Analysis of ordered categorical data: two score-independent approaches.

Abstract:

SUMMARY:A trend test is often employed to analyze ordered categorical data, in which a set of increasing scores is assigned a priori. There is a drawback in this approach, because how to choose a set of scores is not clear. There have been debates on which scores should be used (e.g., Graubard and Korn, 1987, Biometrics 43, 471-476; Ivanova and Berger, 2001, Biometrics 57, 567-570; Senn, 2007, Biometrics 63, 296-298). Conflicting conclusions are often obtained with different sets of scores. Two approaches, which have been applied to genetic case-control studies, are appealing for ordered categorical data, because they take into account the natural order in the data, are score independent, and not contingent on asymptotic theory. These two approaches are applied to a prospective study for detecting association between maternal drinking and congenital malformations.

journal_name

Biometrics

journal_title

Biometrics

authors

Zheng G

doi

10.1111/j.1541-0420.2008.00992.x

subject

Has Abstract

pub_date

2008-12-01 00:00:00

pages

1276-9

issue

4

eissn

0006-341X

issn

1541-0420

pii

BIOM992

journal_volume

64

pub_type

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