Testing conditional independence in sets of I × J tables by means of moment and correlation score tests with application to HPV vaccine.

Abstract:

:A new testing approach is described for improving statistical tests of independence in sets of tables stratified on one or more relevant factors in case of categorical (nominal or ordinal) variables. Common tests of independence that exploit the ordinality of one of the variables use a restricted-alternative approach. A different, relaxed-null method is presented. Specifically, the M-moment score tests and the correlation tests are introduced. Using multinomial-Poisson homogeneous modeling theory, it is shown that these tests are computationally and conceptually simple, and simulation results suggest that they can perform better than other common tests of conditional independence. To illustrate, the proposed tests are used to better understand the human papillomavirus type-specific infection by exploring the intention to vaccinate. Copyright © 2016 John Wiley & Sons, Ltd.

journal_name

Stat Med

journal_title

Statistics in medicine

authors

Iannario M,Lang JB

doi

10.1002/sim.7006

subject

Has Abstract

pub_date

2016-11-10 00:00:00

pages

4573-4587

issue

25

eissn

0277-6715

issn

1097-0258

journal_volume

35

pub_type

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