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QingxiaChenJan302013
(26 Apr 2013,
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---+++ Department of Biostatistics Seminar/Workshop Series ---+ <a name="Estimating_Time"></a> Estimating Time-varying Effects for Over-dispersed Recurrent Events Data with Cross-over Design ---++ <a name="Qingxia_(Cindy)_Chen"></a> Qingxia (Cindy) Chen, !PhD ---+++++ <a name="Assistant_Professor"></a> Assistant Professor, Department of Biostatistics, Vanderbilt University School of Medicine ---+++ <a name="Wednesday_January_30_2013_1_30_2_30pm"></a> Wednesday, January 30, 2013, 1:30-2:30pm, MRBIII Room 1220 In the analysis of multivariate event times, frailty models assuming time-independent regression coefficients are often considered, mainly due to their theoretical and numerical convenience. In practice, regression coefficients are often time-dependent and the temporal effects are of clinical interest. Motivated by a phase III clinical trial in multiple sclerosis, we develop a semi-parametric frailty modeling approach to estimate time-varying effects for over-dispersed recurrent events data with Cross-over design. The proposed model naturally incorporates the treatment switching time in the time-varying coefficients. Simulation studies evaluate the numerical performance of the proposed model under various temporal treatment effect curves. The ideas in this paper can also be used for time-varying coefficient frailty models without treatment switching as well as for alternative models when the proportional hazard assumption is violated. A multiple sclerosis dataset is analyzed to illustrate our methodology.
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Topic revision: r3 - 26 Apr 2013,
JohnBock
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