Inference regarding within-family association in disease onset times under biased sampling schemes

11/26/2015 - 15:30
11/26/2015 - 16:30
Richard Cook (University of Waterloo)
Burnside Hall, Rm. 306 (McGill University)
In preliminary studies of the genetic basis for chronic conditions, interest routinely  lies in the within-family dependence in disease status. When probands are selected from disease registries and their respective families are recruited, a variety of ascertainment   bias-corrected methods of inference are available which are typically based on models for correlated binary data. This approach ignores the age that family members are at the time of assessment. We consider copula-based models for assessing the within-family dependence   in the disease onset time and disease progression, based on right-censored and current status observation of the non-probands. Inferences based on likelihood, composite likelihood and estimating functions are each discussed and compared in terms of asymptotic and empirical  relative efficiency. This is joint work with Yujie Zhong.
Last edited by on Thu, 11/26/2015 - 10:07