New Frontiers of Biostatistics and Bioinformatics / edited by Yichuan Zhao, Ding-Geng Chen.

Format:

Book

Contributor:

Zhao, Yichuan, editor.

Chen, Ding-Geng, editor.

SpringerLink (Online service)

Series:

Mathematics and Statistics (Springer-11649)

ICSA book series in statistics 2199-0980

ICSA Book Series in Statistics, 2199-0980

Language:

English

Subjects (All):

Statistics.

Big data.

Biometry.

Statistical Theory and Methods.

Big Data/Analytics.

Statistics for Life Sciences, Medicine, Health Sciences.

Biostatistics.

Local Subjects:

Statistical Theory and Methods.

Big Data/Analytics.

Statistics for Life Sciences, Medicine, Health Sciences.

Biostatistics.

Physical Description:

1 online resource (XXIV, 463 pages) : 138 illustrations, 62 illustrations in color.

Edition:

First edition 2018.

Contained In:

Springer eBooks

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2018.

System Details:

text file PDF

Summary:

This book is comprised of presentations delivered at the 5th Workshop on Biostatistics and Bioinformatics held in Atlanta on May 5-7, 2017. Featuring twenty-two selected papers from the workshop, this book showcases the most current advances in the field, presenting new methods, theories, and case applications at the frontiers of biostatistics, bioinformatics, and interdisciplinary areas. Biostatistics and bioinformatics have been playing a key role in statistics and other scientific research fields in recent years. The goal of the 5th Workshop on Biostatistics and Bioinformatics was to stimulate research, foster interaction among researchers in field, and offer opportunities for learning and facilitating research collaborations in the era of big data. The resulting volume offers timely insights for researchers, students, and industry practitioners. .

Contents:

Chapter1. Importance of Adjusting for Multi-Stage Design when Analyzing Data from Complex Surveys

Chapter2. A selective overview of semiparametric mixture of regression models

Chapter3. Estimating the Confidence Interval of Evolutionary Stochastic Process Mean from Wavelet based Bootstrapping

Chapter4. A New Wavelet-Based Approach for Mass Spectrometry Data Classification

Chapter5. Identification of Pathway-Modulating Genes using the Biomedical Literature Mining

Chapter6. Equivalence tests in subgroup analyses

Chapter7. Empirical Study on High-Dimensional Variable Selection and Prediction under Competing Risks

Chapter8. Learning Gene Regulatory Networks with High-Dimensional Heterogeneous Data

Chapter9. Discriminant Analysis and Normalization Methods for Next-generation Sequencing Data

Chapter10. Rank-based Empirical Likelihood for Regression Models with Responses Missing at Random

Chapter11. Nonparametric Estimation of a Hazard Rate Function with Right Truncated Data

Chapter12. On the landmark survival model for dynamic prediction of event occurrence using longitudinal data

Chapter13. Analysis of the High School Longitudinal Study to Evaluate Associations Among Mathematics Achievement, Mentorship and Student Participation in STEM Programs

Chapter14. OptimalWeightedWilcoxon-Mann-Whitney Test for Prioritized Outcomes

Chapter15. Wavelet-based profile monitoring using order-thresholding recursive CUSUM schemes

Chapter16. Bayesian Nonparametric Spatially Smoothed Density Estimation

Chapter17. Nonparametric Estimation of a Cumulative Hazard Function with Right Truncated Data

Chapter18. Mammogram Diagnostics Using Robust Wavelet-based Estimator of Hurst Exponent

Chapter19. Statistical Power and Bayesian Assurance in Clinical Trial Design

Chapter20. Predicting Confidence Interval for the Proportion at the Time of Study Planning in Small Clinical Trials

Chapter21. Performance evaluation of normalization approaches for metagenomic compositional data on differential abundance analysis

Chapter22. Statistical Modeling for the Heart Disease Diag-nosis via Multiple Imputation.

Other Format:

Printed edition:

ISBN:

978-3-319-99389-8

9783319993898

Access Restriction:

Restricted for use by site license.