Multilevel regression modelling to investigate variation in disease prevalence across locations

International Journal of Epidemiology

Volumn 46, Issue 1, 2017, Pages 336-347

  Weinmayr, Gudrun ^a   Dreyhaupt, Jens ^a   Jaensch, Andrea ^a   Forastiere, Francesco ^b   Strachan, David P ^c  

^a UNIVERSITY OF ULM   (Germany)

^b DEPARTMENT OF EPIDEMIOLOGY   (Italy)

^c ST GEORGE S HOSPITAL   (United Kingdom)

Author keywords

Multicentre study; Multilevel regression; Prevalence variation; Random intercept; Risk factor

Indexed keywords

ALLERGY; ASTHMA; CHILD HEALTH; DISEASE PREVALENCE; MULTIPLE REGRESSION; NUMERICAL MODEL; RESEARCH WORK; RISK FACTOR;

ARTICLE; ASTHMA; ATOPY; BINOMIAL DISTRIBUTION; BOOTSTRAPPING; CARDIOVASCULAR RISK; COMPARATIVE STUDY; CONTROLLED STUDY; CROSS-SECTIONAL STUDY; EXPLANATORY VARIABLE; HUMAN; MATERNAL SMOKING; MULTILEVEL ANALYSIS; PERTUSSIS; PREVALENCE; PRICK TEST; PRIORITY JOURNAL; RISK FACTOR; HYPERSENSITIVITY; MULTICENTER STUDY (TOPIC); PROCEDURES; REGRESSION ANALYSIS; STATISTICAL BIAS; STATISTICS AND NUMERICAL DATA;

ASTHMA; BIAS; HUMANS; HYPERSENSITIVITY; MULTICENTER STUDIES AS TOPIC; MULTILEVEL ANALYSIS; PREVALENCE; REGRESSION ANALYSIS; RISK FACTORS;

EID: 85019749718     PISSN: 03005771     EISSN: 14643685     Source Type: Journal    
DOI: 10.1093/ije/dyw274     Document Type: Article

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