JSM 2012 Home

JSM 2012 Online Program

The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.

Online Program Home

Abstract Details

Activity Number: 526
Type: Contributed
Date/Time: Wednesday, August 1, 2012 : 10:30 AM to 12:20 PM
Sponsor: Section on Statistics in Epidemiology
Abstract - #305526
Title: The Robust TDT-Type Test Under Informative Parental Missingness
Author(s): Jin-Hua Chen*+ and Kuang-Fu Cheng
Companies: and China Medical University
Address: 14 F., No. 2, Ln. 100, Sec. 2,, Taipei, _, 11648, Taiwan, Republic of China
Keywords: Association test ; Case-parents study ; Informative missigness ; Robustness ; Transmission /disequilibrium test

Many family-based association tests rely on the random transmission of alleles from parents to offspring. Among them, the transmission/disequilibrium test (TDT) may be considered to be the most popular statistical test. The TDT statistic was proposed to evaluate nonrandom transmission of alleles from parents to the diseased children. However, in family studies, parental genotypes are not always available. Quite often, the offspring genotype affects the severity of offspring phenotype or/and the age at onset and in turn affects the parental missingness. In such case, the nonrandom transmission of alleles may also occur even when the gene and disease are not associated. The usual TDT or its variations would produce excessive false positive conclusions in association studies. We propose a TDT-type association test which is not only simple in computation but also robust to the joint effect of population stratification and informative parental missingness. The test statistic does not rely on any model and also allows for having different mechanisms of parental missingness across subpopulations. We use a simulation study to compare the performance of new test and TDT method.

The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.

Back to the full JSM 2012 program

2012 JSM Online Program Home

For information, contact jsm@amstat.org or phone (888) 231-3473.

If you have questions about the Continuing Education program, please contact the Education Department.