Unconditional analyses can increase efficiency in assessing gene-environment interaction of the case-combined-control design

International Journal of Epidemiology

Volumn 35, Issue 4, 2006, Pages 1067-1073

  Goldstein, Alisa M ^a   Dondon, Marie Gabrielle ^b   Andrieu, Nadine ^b  

^a NATIONAL CANCER INSTITUTE   (United States)

^b INSTITUT CURIE   (France)

Author keywords

Conditional analysis; E interaction; G ; Population based controls; Sibling controls; Unconditional logistic regression analysis

Indexed keywords

EXPERIMENTAL DESIGN; REGRESSION ANALYSIS;

ACCURACY; ANALYTIC METHOD; ARTICLE; CASE CONTROL STUDY; CONTROLLED STUDY; CORRELATION ANALYSIS; ENVIRONMENTAL FACTOR; FEASIBILITY STUDY; GENE INTERACTION; LOGISTIC REGRESSION ANALYSIS; PRIORITY JOURNAL; SIBLING; SIMULATION;

CASE-CONTROL STUDIES; COMPUTER SIMULATION; CONTROL GROUPS; ENVIRONMENT; FAMILY; GENETIC PREDISPOSITION TO DISEASE; HUMANS; INHERITANCE PATTERNS; LOGISTIC MODELS; SAMPLE SIZE;

EID: 33749619857     PISSN: 03005771     EISSN: 14643685     Source Type: Journal    
DOI: 10.1093/ije/dyl048     Document Type: Article

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