title: A semiparametric method for analyzing matched case-control family studies with a continuous outcome and proband sampling.
abstract: We consider matched case-control familial studies which match a group of patients, called "case probands," with a group of disease-free subjects, called "control probands," using a set of family-level matching variables. Family members of each proband are then recruited into the study. Of interest here is the familial aggregation of the response variable and the effects of subject-specific covariates on the response. We propose an estimating equation approach to jointly estimate the main effects and intrafamilial correlations for matched family studies with a continuous outcome. Only knowledge of the first two joint moments of the response variable is required. The induced estimators for the main effects and intrafamilial correlations are consistent and asymptotically normally distributed. We apply the proposed method to sleep apnea data. A simulation study demonstrates the usefulness of our approach.
authors.affiliation: Department of Biostatistics, Harvard School of Public Health and Dana-Farber Cancer Institute, Boston, Massachusetts 02115, USA. mwang@jimmy.harvard.edu
authors.forename: Molin
authors.initials: M
authors.lastname: Wang
authors.forename: John M
authors.initials: JM
authors.lastname: Williamson
authors.forename: Susan
authors.initials: S
authors.lastname: Redline
mesh_terms: D001699:Biometry / Q000379:methods*; D016022:Case-Control Studies; D005190:Family; D005260:Female; D030342:Genetic Diseases, Inborn / Q000453:epidemiology / Q000235:genetics; D006801:Humans; D008297:Male; D008875:Middle Aged; D015233:Models, Statistical; D020181:Sleep Apnea, Obstructive / Q000453:epidemiology / Q000235:genetics