A marginal likelihood approach for estimating penetrance from kin-cohort designs

Biometrics

Volumn 57, Issue 1, 2001, Pages 245-252

  Chatterjee, N ^a   Wacholder, S ^a  

^a NATIONAL CANCER INSTITUTE   (United States)

Author keywords

Correlated data; EM algorithm; Failure time data; Residual familial correlation; Sandwich variance

Indexed keywords

EPIDEMIOLOGY;

CASE-CONTROL; COHORT DESIGN; CONTROL DESIGN; CORRELATED DATA; EM ALGORITHMS; FAILURE TIME DATA; HISTORY INFORMATIONS; MARGINAL LIKELIHOOD; RESIDUAL FAMILIAL CORRELATION; SANDWICH VARIANCE;

ECONOMIC AND SOCIAL EFFECTS;

ARTICLE; AUTOSOMAL INHERITANCE; CORRELATION FUNCTION; DATA ANALYSIS; GENE MUTATION; HUMAN; PENETRANCE;

EID: 0035102533     PISSN: 0006341X     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.0006-341X.2001.00245.x     Document Type: Article

References (12)

1. A model for association in bivariate life tables and its application in epidemiological studies of familial tendency in chronic disease incidence
2. Breast and ovarian cancer incidence in BRCA1-mutation carriers
3. Designing studies to estimate the penetrance of an identified autosomal mutation: Cohort, case-control, and genotyped-proband designs
4. Effects of violations of assumptions on likelihood methods for estimating the penetrance of the autosonial mutations gtom kin-cohort studies
5. Kin-cohort designs for gene characterization
6. Multivariate regression analysis for categorical data
7. Pseudo-likelihood estimates of the cumulative risk of an autosomal dominant disease from a kin-cohort study
8. The risk of cancer associated with specific mutations of BRCA1 and BRCA2 among Ashkenazi Jews
9. The kin-cohort study for estimating penetrance
10. Correlated binary regression using a quadratic exponential model