Bayesian hierarchical modeling for a non-randomized, longitudinal fall prevention trial with spatially correlated observations

Statistics in Medicine

Volumn 30, Issue 5, 2011, Pages 522-530

  Murphy, T E ^a   Allore, H G ^b   Leo Summers, L ^a   Carlin, B P ^b  

^a YALE UNIVERSITY SCHOOL OF MEDICINE   (United States)

^b UNIVERSITY OF MINNESOTA   (United States)

Author keywords

Bayesian hierarchical model; Fall prevention; Longitudinal study; Non randomized trial; Posterior predictive simulation; Spatial residuals

Indexed keywords

ACCIDENT PREVENTION; ANALYTIC METHOD; ARTICLE; BAYES THEOREM; COMMUNITY PROGRAM; COMMUNITY TRIAL; CONTROLLED STUDY; FALL RISK ASSESSMENT; FALLING; INTERMETHOD COMPARISON; INTERVENTION STUDY; LONGITUDINAL STUDY; POISSON DISTRIBUTION; PREDICTIVE VALIDITY; PREVENTIVE HEALTH SERVICE; RANDOMIZATION; SIMULATION; SPATIAL AUTOCORRELATION ANALYSIS; STATISTICAL MODEL; STUDY DESIGN;

ACCIDENTAL FALLS; AGED; AGED, 80 AND OVER; ALGORITHMS; BAYES THEOREM; COMPUTER SIMULATION; CONNECTICUT; CONTROLLED CLINICAL TRIALS AS TOPIC; EMERGENCY MEDICAL SERVICES; FEMALE; HUMANS; LONGITUDINAL STUDIES; MALE; MARKOV CHAINS; MODELS, STATISTICAL; MONTE CARLO METHOD; PATIENT EDUCATION AS TOPIC; POISSON DISTRIBUTION; TREATMENT OUTCOME;

EID: 79851499268     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.3912     Document Type: Article

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