Estimating co-occurring behavioral trajectories within a neighborhood context: A case study of multivariate transition models for clustered data

American Journal of Epidemiology

Volumn 168, Issue 10, 2008, Pages 1190-1203

  Cerdá, Magdalena ^a   Sánchez, Brisa N ^b   Galea, Sandro ^a,b,c   Tracy, Melissa ^b   Buka, Stephen L ^d  

^a NEW YORK ACADEMY OF MEDICINE   (United States)

^b UNIVERSITY OF MICHIGAN   (United States)

^c Department of Medicine   (United States)

^d BROWN UNIVERSITY   (United States)

Author keywords

Adolescent; Comorbidity; Logistic models; Regression analysis; Residence characteristics; Risk taking; Social environment; Transition probability

Indexed keywords

ANTISOCIAL BEHAVIOR; HEALTH RISK; LOGISTICS; MULTIVARIATE ANALYSIS; REGRESSION ANALYSIS;

ADOLESCENT; ADULT; ANTISOCIAL BEHAVIOR; ARTICLE; BEHAVIOR DISORDER; CLUSTER ANALYSIS; COMORBIDITY; FEMALE; HUMAN; MAJOR CLINICAL STUDY; MALE; MULTIVARIATE ANALYSIS; REGRESSION ANALYSIS; SCHOOL CHILD; SOCIAL ENVIRONMENT; STATISTICAL MODEL; SUBSTANCE ABUSE; ADDICTION; CHILD BEHAVIOR; DEMOGRAPHY; HIGH RISK BEHAVIOR; MENTAL DISEASE; SOCIAL CLASS; STATISTICS; UNITED STATES;

ADOLESCENT; ADOLESCENT BEHAVIOR; ADULT; CHICAGO; CLUSTER ANALYSIS; COMORBIDITY; FEMALE; HUMANS; LOGISTIC MODELS; MALE; MENTAL DISORDERS; RESIDENCE CHARACTERISTICS; RISK-TAKING; SOCIAL CLASS; SUBSTANCE-RELATED DISORDERS;

EID: 56149124377     PISSN: 00029262     EISSN: 14766256     Source Type: Journal    
DOI: 10.1093/aje/kwn241     Document Type: Article

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