A frailty-model-based approach to estimating the age-dependent penetrance function of candidate genes using population-based case-control study designs: An application to data on the BRCA1 gene

Biometrics

Volumn 65, Issue 4, 2009, Pages 1105-1114

  Chen, Lu ^a,b   Hsu, Li ^c   Malone, Kathleen ^c  

^a UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

^b CHILDREN S ONCOLOGY GROUP   (United States)

^c Fred Hutchinson Cancer Research Center   (United States)

Author keywords

Age dependent penetrance function; BRCA1; Candidate gene; Case control study design; Nonparametric maximum likelihood; Semiparametric survival analysis

Indexed keywords

DISEASE CONTROL; DISEASES; GENES; MAXIMUM LIKELIHOOD ESTIMATION; POPULATION STATISTICS;

AGE-DEPENDENT PENETRANCE FUNCTION; BRCA1; CANDIDATE GENES; CASE-CONTROL STUDY; CASE-CONTROL STUDY DESIGN; MA XIMUM LIKELIHOODS; MAXIMUM-LIKELIHOOD; NONPARAMETRIC MAXIMUM LIKELIHOOD; NONPARAMETRICS; SEMIPARAMETRIC; SEMIPARAMETRIC SURVIVAL ANALYSE; STUDY DESIGN; SURVIVAL ANALYSIS;

RISK PERCEPTION;

AGE CLASS; CANCER; DISEASE SEVERITY; EPIDEMIOLOGY; GENE; GENOTYPE; RISK FACTOR; SURVIVAL;

ADULT; AGED; ARTICLE; BREAST CANCER; FEMALE; GENOTYPE; HAZARD ASSESSMENT; HUMAN; MAJOR CLINICAL STUDY; METHODOLOGY; ONCOGENE; PENETRANCE; POPULATION BASED CASE CONTROL STUDY; RISK FACTOR; SEXUAL FUNCTION; STATISTICAL ANALYSIS;

EID: 70450237612     PISSN: 0006341X     EISSN: 15410420     Source Type: Journal    
DOI: 10.1111/j.1541-0420.2008.01184.x     Document Type: Article

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