Detecting patterns of occupational illness clustering with alternating logistic regressions applied to longitudinal data

American Journal of Epidemiology

Volumn 158, Issue 5, 2003, Pages 495-501

  Preisser, John S ^a   Arcury, Thomas A ^b   Quandt, Sara A ^b  

^a IL   (United States)

^b WAKE FOREST SCHOOL OF MEDICINE   (United States)

Author keywords

Agricultural workers' diseases; Generalized estimating equation; Logistic models; Odds ratio; Random effect; Repeated measures

Indexed keywords

NICOTINE;

AGRICULTURAL WORKER; CLUSTER ANALYSIS; GROUP BEHAVIOR; OCCUPATION; STATISTICAL ANALYSIS;

AGRICULTURAL WORKER; ARTICLE; HUMAN; LOGISTIC REGRESSION ANALYSIS; MAJOR CLINICAL STUDY; MODEL; OCCUPATIONAL DISEASE; RISK; STATISTICAL ANALYSIS; TOBACCO;

AGRICULTURAL WORKERS' DISEASES; CLUSTER ANALYSIS; EPIDEMIOLOGIC METHODS; HISPANIC AMERICANS; HUMANS; INCIDENCE; LOGISTIC MODELS; LONGITUDINAL STUDIES; NICOTINE; NORTH CAROLINA; OCCUPATIONAL DISEASES; OCCUPATIONAL EXPOSURE; ODDS RATIO; POPULATION SURVEILLANCE; RISK FACTORS; TOBACCO; TRANSIENTS AND MIGRANTS;

UNITED STATES;

EID: 0041509045     PISSN: 00029262     EISSN: None     Source Type: Journal    
DOI: 10.1093/aje/kwg169     Document Type: Article

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