Analysis of longitudinal data of epileptic seizure counts - A two-state hidden Markov regression approach

Biometrical Journal

Volumn 43, Issue 8, 2001, Pages 941-962

  Wang, Peiming ^a   Puterman, Martin L ^b  

^a NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

^b UNIVERSITY OF BRITISH COLUMBIA   (Canada)

Author keywords

EM algorithm; Epilepsy; Hidden Markov model; Longitudinal count data; Monte Carlo; Negative binomial regression; Overdispersion; Poisson regression

Indexed keywords

CHAINS; MAXIMUM LIKELIHOOD ESTIMATION; MONTE CARLO METHODS; NEURODEGENERATIVE DISEASES; NEUROPHYSIOLOGY; POISSON DISTRIBUTION; REGRESSION ANALYSIS; SAMPLING;

COUNT DATUM; EM ALGORITHMS; EPILEPSY; HIDDEN-MARKOV MODELS; LONGITUDINAL COUNT DATA; MONTE CARLO; NEGATIVE BINOMIAL REGRESSION; OVERDISPERSION; POISSON REGRESSION; POISSON REGRESSION MODELS;

HIDDEN MARKOV MODELS;

EID: 0035561390     PISSN: 03233847     EISSN: None     Source Type: Journal    
DOI: 10.1002/1521-4036(200112)43:8<941::aid-bimj941>3.0.co;2-%23     Document Type: Article

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