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Family‐based association tests for survival and times‐to‐onset analysis
Author(s) -
Lange Christoph,
Blacker Deborah,
Laird Nan M.
Publication year - 2004
Publication title -
statistics in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.996
H-Index - 183
eISSN - 1097-0258
pISSN - 0277-6715
DOI - 10.1002/sim.1707
Subject(s) - wilcoxon signed rank test , statistics , log rank test , survival analysis , proportional hazards model , hazard , relevance (law) , statistical hypothesis testing , hazard ratio , econometrics , computer science , mathematics , confidence interval , mann–whitney u test , chemistry , organic chemistry , political science , law
In this paper, we discuss family‐based association test (FBATs) relating genetic data to survival and time‐to‐onset data. We show how the standard logrank and Wilcoxon statistics can be used with family data to develop tests of association. We prove that the FBAT‐logrank approach can be identical to the proportional hazard approach discussed in Mokliatchouk et al. (2000). Further, using simulation studies, we compare the power of the logrank, Wilcoxon and an approach developed for censored exponential data ( Euro J Hum Gen 2001; 9: 301–306). Based on the results of the simulation study, we suggest rules of thumb about which statistics to use in a given situation. An application of all three tests to an Alzheimer study illustrates the practical relevance of our discussion. Copyright © 2004 John Wiley & Sons, Ltd.