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Webinar: Biostatistics and Bioinformatics Seminar – “A New Multilevel Modeling Approach for Clustered Survival Data”
April 29, 9:00 am to 10:00 am
“A New Multilevel Modeling Approach for Clustered Survival Data” will be presented by Jinfeng Xu, PhD, associate professor in the Department of Statistics and Actuarial Science at the University of Hong Kong.
In multilevel modeling of clustered survival data, to account for the differences among different clusters, a commonly used approach is to introduce cluster effects, either random or fixed, into the model. Modeling with random effects may lead to difficulties in the implementation of the estimation procedure for the unknown parameters of interest because the numerical computation of multiple integrals may become unavoidable when the cluster effects are not scalars. On the other hand, if fixed effects are used, there is a danger of having estimators with large variances because there are too many nuisance parameters involved in the model. In this paper, using the idea of the homogeneity pursuit, the authors propose a new multilevel modeling approach for clustered survival data. The proposed modeling approach does not have the potential computational problem as modelling with random effects, and it also involves far fewer unknown parameters than modeling with fixed effects. The paper also establishes asymptotic properties to show the advantages of the proposed model and conduct intensive simulation studies to demonstrate the performance of the proposed method. Finally, the proposed method is applied to analyze a dataset on the second-birth interval in Bangladesh. The most interesting finding is the impact of some important factors on the length of the second-birth interval variation over clusters and its homogeneous structure.
Participants may also join by calling 929-205-6099, meeting ID 967 8647 5339. If prompted, enter passcode 013520.