Bayes computation for ecological inference

Statistics in Medicine

Volumn 30, Issue 12, 2011, Pages 1381-1396

  Wakefield, Jon ^a   Haneuse, Sebastien ^b   Dobra, Adrian ^a   Teeple, Elizabeth ^c  

^a UNIVERSITY OF WASHINGTON   (United States)

^b HARVARD SCHOOL OF PUBLIC HEALTH   (United States)

^c GROUP HEALTH RESEARCH INSTITUTE   (United States)

Author keywords

Auxiliary data; Case control sampling; Ecological bias; Markov chain Monte Carlo

Indexed keywords

ALGORITHM; ARTICLE; BAYES THEOREM; CALCULATION; CASE CONTROL SAMPLING; CAUCASIAN; DATA ANALYSIS; DIABETES MELLITUS; ECOLOGICAL DATA; FEMALE; GENDER; HUMAN; LOW BIRTH WEIGHT; MALE; METHODOLOGY; NORMAL APPROXIMATION; POISSON DISTRIBUTION; PROBABILITY; RACE DIFFERENCE; RANDOM SAMPLE; SAMPLE SIZE; SAMPLING; SIMULATION; STATISTICAL CONCEPTS; STATISTICAL MODEL;

BAYES THEOREM; COMPUTER SIMULATION; DATA INTERPRETATION, STATISTICAL; DIABETES MELLITUS; EPIDEMIOLOGIC METHODS; FEMALE; HUMANS; MARKOV CHAINS; MODELS, STATISTICAL; MONTE CARLO METHOD; NUMERICAL ANALYSIS, COMPUTER-ASSISTED;

EID: 79955829363     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.4214     Document Type: Article

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