title: Remarks on ascertainment.
abstract: Genetic Analysis Workshop data come from various sources, with possibly different ascertainment procedures in each. It is plausible that classical ascertainment models do not accurately describe the ascertainment process in each data source. For this reason, we review the biases which can arise from an incorrect specification on the ascertainment process and discuss their relevance for the GAW5 data analysis.
authors.affiliation: Department of Mathematics, Monash University, Clayton, Victoria, Australia.
authors.forename: W J
authors.initials: WJ
authors.lastname: Ewens
authors.forename: N C
authors.initials: NC
authors.lastname: Shute
mesh_terms: D002648:Child; D003625:Data Collection; D003922:Diabetes Mellitus, Type 1 / Q000453:epidemiology / Q000235:genetics*; D006680:HLA Antigens / Q000235:genetics; D006801:Humans; D008957:Models, Genetic; D012307:Risk Factors
chemical_list: D006680:HLA Antigens