Spatiotemporal hurdle models for zero-inflated count data: Exploring trends in emergency department visits

Statistical Methods in Medical Research

Volumn 25, Issue 6, 2016, Pages 2558-2576

  Neelon, Brian ^a,b   Chang, Howard H ^c   Ling, Qiang ^c   Hastings, Nicole S ^a,d  

^a DURHAM VA MEDICAL CENTER   (United States)

^b DUKE UNIVERSITY MEDICAL CENTER   (United States)

^c EMORY UNIVERSITY   (United States)

^d DUKE UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

emergency department use; generalized Poisson distribution; hurdle model; overdispersion; spatiotemporal model; zero inflation

Indexed keywords

EMERGENCY WARD; HUMAN; POISSON DISTRIBUTION; PROBABILITY; SOFTWARE; STATISTICAL MODEL; ADULT; BAYES THEOREM; BINOMIAL DISTRIBUTION; FEMALE; HOSPITAL EMERGENCY SERVICE; MALE; MULTIVARIATE ANALYSIS; SPATIOTEMPORAL ANALYSIS; UNITED STATES; UTILIZATION;

ADULT; BAYES THEOREM; BINOMIAL DISTRIBUTION; EMERGENCY SERVICE, HOSPITAL; FEMALE; HUMANS; MALE; MULTIVARIATE ANALYSIS; POISSON DISTRIBUTION; SOFTWARE; SPATIO-TEMPORAL ANALYSIS; UNITED STATES;

EID: 84995790080     PISSN: 09622802     EISSN: 14770334     Source Type: Journal    
DOI: 10.1177/0962280214527079     Document Type: Article

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