New Frontiers of Biostatistics and Bioinformatics

Chapter 1 Optimal Weighted Wilcoxon–Mann–Whitney Test for Prioritized Outcomes

Chapter 2 A Selective Overview of Semiparametric Mixture of Regression Models

Chapter 3 Rank-Based Empirical Likelihood for Regression Models with Responses Missing at Random

Chapter 4 Bayesian Nonparametric Spatially Smoothed Density Estimation

Chapter 5 Mammogram Diagnostics Using Robust Wavelet-Based Estimator of Hurst Exponent

Chapter 6 Wavelet-Based Profile Monitoring Using Order-Thresholding Recursive CUSUM Schemes

Chapter 7 Estimating the Confidence Interval of Evolutionary Stochastic Process Mean from Wavelet Based Bootstrapping

Chapter 8 A New Wavelet-Based Approach for Mass Spectrometry Data Classification

Chapter 9 Statistical Power and Bayesian Assurance in Clinical Trial Design

Chapter 10 Equivalence Tests in Subgroup Analyses

Chapter 11 Predicting Confidence Interval for the Proportion at the Time of Study Planning in Small Clinical Trials

Chapter 12 Importance of Adjusting for Multi-stage Design When Analyzing Data from Complex Surveys

Chapter 13 Analysis of the High School Longitudinal Study to Evaluate Associations Among Mathematics Achievement, Mentorship and Student Participation in STEM Programs

Chapter 14 Statistical Modeling for the Heart Disease Diagnosis via Multiple Imputation

Chapter 15 Learning Gene Regulatory Networks with High-Dimensional Heterogeneous Data

Chapter 16 Performance Evaluation of Normalization Approaches for Metagenomic Compositional Data on Differential Abundance Analysis

Chapter 17 Identification of Pathway-Modulating Genes Using the Biomedical Literature Mining

Chapter 18 Discriminant Analysis and Normalization Methods for Next-Generation Sequencing Data

Chapter 19 On the Landmark Survival Model for Dynamic Prediction of Event Occurrence Using Longitudinal Data

Chapter 20 Nonparametric Estimation of a Cumulative Hazard Function with Right Truncated Data

Chapter 21 Empirical Study on High-Dimensional Variable Selection and Prediction Under Competing Risks