Measuring safety treatment effects using full Bayes non-linear safety performance intervention functions

Accident Analysis and Prevention

Volumn 45, Issue , 2012, Pages 152-163

  El Basyouny, Karim ^a   Sayed, Tarek ^b  

^a UNIVERSITY OF ALBERTA   (Canada)

^b UNIVERSITY OF BRITISH COLUMBIA   (Canada)

Author keywords

Autoregressive models; Distributed lag models; Empirical Bayes; Full Bayes estimation; Intervention models; Markov Chain Monte Carlo; Negative binomial regression; Novelty effects; Observational before after studies; Poisson lognormal regression; Treatment effects

Indexed keywords

AUTO REGRESSIVE MODELS; BAYES ESTIMATION; BEFORE-AFTER STUDY; EMPIRICAL BAYES; LAG MODEL; LOG-NORMAL; MARKOV CHAIN MONTE CARLO; NEGATIVE BINOMIAL REGRESSION; NOVELTY EFFECTS; TREATMENT EFFECTS;

CODES (SYMBOLS); MARKOV PROCESSES; REGRESSION ANALYSIS; SAFETY ENGINEERING;

PARAMETER ESTIMATION;

ARTICLE; BAYES THEOREM; CANADA; CROSS-SECTIONAL STUDY; ENVIRONMENTAL PLANNING; HEALTH CARE QUALITY; HUMAN; INJURY; INSURANCE; INTERVENTION STUDY; MORTALITY; NONLINEAR SYSTEM; POISSON DISTRIBUTION; REGRESSION ANALYSIS; SAFETY; STANDARD; STATISTICAL MODEL; STATISTICS; TRAFFIC ACCIDENT;

ACCIDENTS, TRAFFIC; BAYES THEOREM; BRITISH COLUMBIA; CROSS-SECTIONAL STUDIES; ENVIRONMENT DESIGN; HUMANS; INSURANCE CLAIM REPORTING; INTERVENTION STUDIES; MODELS, STATISTICAL; NONLINEAR DYNAMICS; POISSON DISTRIBUTION; PROGRAM EVALUATION; REGRESSION ANALYSIS; SAFETY; WOUNDS AND INJURIES;

EID: 84855736047     PISSN: 00014575     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.aap.2011.11.018     Document Type: Article

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