图书简介

False Discovery Rates: A New Adaptive Method to Control the False Discovery Rate; Adaptive Multiple Testing Procedures under Positive Dependence; A False Discovery Rate Procedure for Categorical Data; Survival Analysis: Conditional Nelson-Aalen and Kaplan-Meier Estimators with the Müller–Wang Boundary Kernel; Regression analysis in Failure Time Mixture Models with Change Points According to Thresholds in a Covariate; Modeling Survival Data using the Piecewise Exponential Model with Random Time Grid; Proportional Rate Models for Recurrent Time Event Data under Dependent Censoring: A Comparative Study; Efficient Algorithms for Bayesian Binary Regression Model with Skew-Probit Link; M-Estimation Methods in Heteroscedastic Nonlinear Regression Model; The Inverse Censoring Weighted Approach for Estimation of Survival Functions from Left and Right Censored Data; Analysis and Design of Competing Risks Data in Clinical Research; Related Topics (Genomics/Bioinformatics, Medical Imaging and Diagnosis, Clinical Trials): Comparative Genomic Analysis using Information Theory; Statistical Modeling for Positron Emission Tomography; Using Latent Class Analysis in Medical Diagnosis; Subset Selection in Comparative Selection Trials.

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