title: A pseudolikelihood approach to correcting for ascertainment bias in family studies.
abstract: The Cannings and Thompson approach to correcting for ascertainment bias in family studies is extended to settings with multiple ascertainment. The extension is based on maximizing a pseudolikelihood. Two approaches to computing standard errors for the maximum pseudolikelihood estimate are described. One is especially simple to compute, while the other is more generally applicable. Simulation experiments suggest that the standard-error computations can be quite accurate.
authors: Department of Statistics, Columbia University, New York 10027, USA.
authors: D
authors: D
authors: Rabinowitz
mesh_terms: D003198:Computer Simulation; D006801:Humans; D016013:Likelihood Functions; D008957:Models, Genetic; D010375:Pedigree; D015983:Selection Bias