title: Hypothesis testing for data from different family study designs.
abstract: A test statistic that is valid for data collected according to a particular type of family study design is not necessarily valid when applied to data obtained from a different type of family study design. When this can occur, a different test that usually is valid is developed for each type of family study design. However, investigators might find that their data come from two (or more) different family study designs, each requiring a different test, yet they want an overall conclusion, essentially a valid hypothesis test that is as powerful as possible. When the underlying genetic model is unknown, it is not clear how to proceed, as several alternative approaches might appear feasible. By using as an example the development of a test of association for data concerning affected singletons and their parents and affected sib pairs and their parents, it is shown that it may not be possible to develop a universally optimal approach without knowledge of the underlying genetic model.
authors.affiliation: Centre for Mathematics and its Applications and Centre for Bioinformation Science, Australian National University, Canberra, ACT, Australia. Sue.Wilson@anu.edu.au
authors.forename: Susan R
authors.initials: SR
authors.lastname: Wilson
mesh_terms: D003627:Data Interpretation, Statistical; D006801:Humans; D016013:Likelihood Functions; D010375:Pedigree