Combining hidden Markov models for comparing the dynamics of multiple sleep electroencephalograms

Statistics in Medicine

Volumn 32, Issue 19, 2013, Pages 3342-3356

  Langrock, Roland ^a   Swihart, Bruce J ^b   Caffo, Brian S ^b   Punjabi, Naresh M ^c   Crainiceanu, Ciprian M ^b  

^a UNIVERSITY OF ST ANDREWS   (United Kingdom)

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

^c JOHNS HOPKINS UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

Dirichlet distribution; Fourier power spectrum; Independent mixture; Markov chain; Sleep disordered breathing

Indexed keywords

ARTICLE; CLINICAL STUDY; COHORT ANALYSIS; COMPARATIVE STUDY; CONFIDENCE INTERVAL; DISEASE SEVERITY; ELECTROENCEPHALOGRAM; HIDDEN MARKOV MODEL; HUMAN; LONGITUDINAL STUDY; MATHEMATICAL COMPUTING; MAXIMUM LIKELIHOOD METHOD; POLYSOMNOGRAPHY; PROBABILITY; REM SLEEP; SIMULATION; SLEEP DISORDERED BREATHING; SLEEP HEART HEALTH STUDY;

DIRICHLET DISTRIBUTION; FOURIER POWER SPECTRUM; INDEPENDENT MIXTURE; MARKOV CHAIN; SLEEP-DISORDERED BREATHING;

DATA INTERPRETATION, STATISTICAL; ELECTROENCEPHALOGRAPHY; FEMALE; HUMANS; LONGITUDINAL STUDIES; MALE; MARKOV CHAINS; MIDDLE AGED; MODELS, STATISTICAL; SLEEP APNEA SYNDROMES;

EID: 84880322978     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.5747     Document Type: Article

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