Non-proportional odds multivariate logistic regression of ordinal family data

Biometrical Journal

Volumn 57, Issue 2, 2015, Pages 286-303

  Zaloumis, Sophie G ^a   Scurrah, Katrina J ^b   Harrap, Stephen B ^b   Ellis, Justine A ^b,c   Gurrin, Lyle C ^a  

^a UNIVERSITY OF MELBOURNE   (Australia)

^b UNIVERSITY OF MELBOURNE   (Australia)

^c ROYAL CHILDREN'S HOSPITAL   (Australia)

Author keywords

Correlated ordinal outcomes; Data augmentation; MCMC algorithm; Non proportional odds; Partially collapsed Gibbs sampling

Indexed keywords

MARKOV PROCESSES; MONTE CARLO METHODS;

CORRELATED ORDINAL OUTCOME; CORRELATION STRUCTURE; DATA AUGMENTATION; GIBBS SAMPLING; MCMC ALGORITHMS; MULTIVARIATE LOGISTIC REGRESSIONS; NON-PROPORTIONAL ODD; PARTIALLY COLLAPSED GIBBS SAMPLING; PROPORTIONAL ODDS MODEL; STANDARD SOFTWARE;

REGRESSION ANALYSIS;

ALGORITHM; BIOMETRY; FEMALE; GENOTYPE; HUMAN; MALE; MULTIVARIATE ANALYSIS; PEDIGREE; PHENOTYPE; PROBABILITY; PROCEDURES; STATISTICAL MODEL;

ALGORITHMS; BIOMETRY; FEMALE; GENOTYPE; HUMANS; LOGISTIC MODELS; MALE; MARKOV CHAINS; MULTIVARIATE ANALYSIS; PEDIGREE; PHENOTYPE;

EID: 84923653307     PISSN: 03233847     EISSN: 15214036     Source Type: Journal    
DOI: 10.1002/bimj.201300137     Document Type: Article

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