A mixed autoregressive probit model for ordinal longitudinal data

Biostatistics

Volumn 11, Issue 1, 2010, Pages 127-138

  Varin, Cristiano ^a   Czado, Claudia ^b  

^a CA' FOSCARI UNIVERSITY OF VENICE   (Italy)

^b TECHNICAL UNIVERSITY OF MUNICH   (Germany)

Author keywords

Autoregressive errors; Composite likelihood; Longitudinal data; Migraine severity; Mixed models; Ordinal probit; Pairwise likelihood

Indexed keywords

ANALGESIC AGENT;

ALGORITHM; ARTICLE; ATMOSPHERIC PRESSURE; BIOSTATISTICS; COMPUTER SIMULATION; EDUCATIONAL STATUS; HUMAN; HUMIDITY; LONGITUDINAL STUDY; MEDICAL RECORD; METHODOLOGY; MIGRAINE; MULTIVARIATE ANALYSIS; PROBABILITY; QUESTIONNAIRE; STATISTICAL DISTRIBUTION; STATISTICAL MODEL; TEMPERATURE; WEATHER;

ALGORITHMS; ANALGESICS; ATMOSPHERIC PRESSURE; BIOSTATISTICS; COMPUTER SIMULATION; EDUCATIONAL STATUS; HUMANS; HUMIDITY; LIKELIHOOD FUNCTIONS; LONGITUDINAL STUDIES; MEDICAL RECORDS; MIGRAINE DISORDERS; MODELS, STATISTICAL; MULTIVARIATE ANALYSIS; PROBABILITY; QUESTIONNAIRES; STATISTICAL DISTRIBUTIONS; TEMPERATURE; WEATHER;

EID: 72649105157     PISSN: 14654644     EISSN: 14684357     Source Type: Journal    
DOI: 10.1093/biostatistics/kxp042     Document Type: Article

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