Literature DB >> 7787008

A parametric model for cluster correlated categorical data.

S G Meester1, J MacKay.   

Abstract

A fully parametric copula model for symmetric dependent clustered categorical data is discussed. The model accommodates any marginal regression models of interest and admits a broad range of within-cluster association. The form of the distribution is independent of cluster size and may be used to model data with varying cluster sizes. The model contains an association parameter that is estimated from the data to give a measure of strength of the within-cluster association and also a test of independence. Two examples are given to illustrate methods.

Mesh:

Year:  1994        PMID: 7787008

Source DB:  PubMed          Journal:  Biometrics        ISSN: 0006-341X            Impact factor:   2.571


  6 in total

1.  Unified Analysis of Secondary Traits in Case-Control Association Studies.

Authors:  Arpita Ghosh; Fred A Wright; Fei Zou
Journal:  J Am Stat Assoc       Date:  2013       Impact factor: 5.033

2.  A weighted combination of pseudo-likelihood estimators for longitudinal binary data subject to non-ignorable non-monotone missingness.

Authors:  Andrea B Troxel; Stuart R Lipsitz; Garrett M Fitzmaurice; Joseph G Ibrahim; Debajyoti Sinha; Geert Molenberghs
Journal:  Stat Med       Date:  2010-06-30       Impact factor: 2.373

3.  A unifying framework for marginalized random intercept models of correlated binary outcomes.

Authors:  Bruce J Swihart; Brian S Caffo; Ciprian M Crainiceanu
Journal:  Int Stat Rev       Date:  2014-08       Impact factor: 2.217

4.  A parametric copula model for analysis of familial binary data.

Authors:  D A Trégou t; P Ducimetière; V Bocquet; S Visvikis; F Soubrier; L Tiret
Journal:  Am J Hum Genet       Date:  1999-03       Impact factor: 11.025

5.  A bivariate pseudolikelihood for incomplete longitudinal binary data with nonignorable nonmonotone missingness.

Authors:  Sanjoy K Sinha; Andrea B Troxel; Stuart R Lipsitz; Debajyoti Sinha; Garrett M Fitzmaurice; Geert Molenberghs; Joseph G Ibrahim
Journal:  Biometrics       Date:  2010-12-14       Impact factor: 2.571

6.  Within-Cluster Resampling for Analysis of Family Data: Ready for Prime-Time?

Authors:  Hemant K Tiwari; Amit Patki; David B Allison
Journal:  Stat Interface       Date:  2010-04-01       Impact factor: 0.582

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.