00000ctm a22000004a 4500 UP-99796217611211989 Buklod 20140423141453.0 m |o d | ta 140423s2014 xx d r |||| u| (iLib)UPD-00214608131 DSTC eng LG 995 2014 S8 E97 Eustaquio, John D. Nonparametric hypothesis testing in clustered survival model. John D Eustaquio. Quezon City University of the Philippines c2014. iii, 71 p. ill. Thesis ( M.S.) --University of the Philippines. Abstract (Non parametric hypothesis testing procedures based on the bootstrap were developed in testing for constant clustering effect in a survival model that incorporates the clustering effect into the Cox Proportional Hazards model. In a clustered survival model, bootstrap estimators of the cluster-specific parameters are consistent. Simulation studies indicate that the procedure is correctly-sized and powerful in a reasonably wide range of data. The test procedure for constant cluster effect over time is also robust to model misspecification. In survival data characterized with large number of clusters, the test is powerful even if the data is highly heterogenous and/or there is misspecification error). Bootstrap confidence interval. Survival analysis. Clustered data. Backfitting algorithm. Generalized additive models. Nonparametic bootstrap. Fi-Thesis Monograph UPD DARCHIVES LG 995 2014 S8 E97 UPD DSTC LG 995 2014 S8 E97 Thesis