Mixed effect Poisson log-linear models for clinical and epidemiological sleep hypnogram data

Statistics in Medicine

Volumn 31, Issue 9, 2012, Pages 855-870

  Swihart, Bruce J ^a   Caffo, Brian S ^a   Crainiceanu, Ciprian M ^a   Punjabi, Naresh M ^a  

^a JOHNS HOPKINS BLOOMBERG SCHOOL OF PUBLIC HEALTH   (United States)

Author keywords

Competing risks; Frailties; Hypnogram; Multi state models; Recurrent event; Sleep; Survival analysis

Indexed keywords

ADULT; ARTICLE; BAYES THEOREM; CLUSTER ANALYSIS; COMPARATIVE EFFECTIVENESS; CONTROLLED STUDY; EPIDEMIOLOGICAL DATA; FEMALE; HUMAN; HYPNOGRAM; INTERMETHOD COMPARISON; LOG RANK TEST; LOGLINEAR MODEL; MAJOR CLINICAL STUDY; MALE; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; NONREM SLEEP; OUTCOME ASSESSMENT; POISSON DISTRIBUTION; PREDICTION; PROBABILITY; REM SLEEP; REPRODUCIBILITY; RISK ASSESSMENT; RISK FACTOR; SLEEP PARAMETERS; SLEEP WAKING CYCLE; STATISTICAL DISTRIBUTION; SURVIVAL RATE; SURVIVAL TIME; SYSTEMATIC ERROR; TIME SERIES ANALYSIS;

BAYES THEOREM; DATA INTERPRETATION, STATISTICAL; HUMANS; LINEAR MODELS; MARKOV CHAINS; MODELS, BIOLOGICAL; MODELS, STATISTICAL; MONTE CARLO METHOD; POLYSOMNOGRAPHY; SLEEP;

EID: 84859607777     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.4457     Document Type: Article

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