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 Medjournal_title
Statistics in medicineauthors
Iannario M,Lang JBdoi
10.1002/sim.7006subject
Has Abstractpub_date
2016-11-10 00:00:00pages
4573-4587issue
25eissn
0277-6715issn
1097-0258journal_volume
35pub_type
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