Journal article
Testing conditional independence in sets of I x J tables by means of moment and correlation score tests with application to HPV vaccine
Statistics in medicine, Vol.35(25), pp.4573-4587
10/01/2016
DOI: 10.1002/sim.7006
PMID: 27346660
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 (C) 2016 John Wiley & Sons, Ltd.
Details
- Title: Subtitle
- Testing conditional independence in sets of I x J tables by means of moment and correlation score tests with application to HPV vaccine
- Creators
- Maria Iannario - University of Naples Federico IIJoseph B Lang - University of Iowa
- Resource Type
- Journal article
- Publication Details
- Statistics in medicine, Vol.35(25), pp.4573-4587
- Publisher
- WILEY
- DOI
- 10.1002/sim.7006
- PMID
- 27346660
- ISSN
- 0277-6715
- eISSN
- 1097-0258
- Number of pages
- 15
- Grant note
- RBFR12SHVV / FIRB project CUP E68C13000020003 / frame of SHAPE project in STAR Programme
- Language
- English
- Date published
- 10/01/2016
- Academic Unit
- Statistics and Actuarial Science; Biostatistics
- Record Identifier
- 9984257745902771
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