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New Frontiers of Biostatistics and Bioinformatics

  • Yichuan Zhao
  • Ding-Geng Chen

Part of the ICSA Book Series in Statistics book series (ICSABSS)

Table of contents

  1. Front Matter
    Pages i-xxiv
  2. Review of Theoretical Framework in Biostatistics

    1. Front Matter
      Pages 1-1
    2. Roland A. Matsouaka, Aneesh B. Singhal, Rebecca A. Betensky
      Pages 3-40
    3. Timothy Hanson, Haiming Zhou, Vanda Inácio de Carvalho
      Pages 87-105
  3. Wavelet-Based Approach for Complex Data

    1. Front Matter
      Pages 107-107
    2. Chen Feng, Yajun Mei, Brani Vidakovic
      Pages 109-140
    3. Achraf Cohen, Chaimaa Messaoudi, Hassan Badir
      Pages 175-189
  4. Clinical Trials and Statistical Modeling

  5. High-Dimensional Gene Expression Data Analysis

    1. Front Matter
      Pages 303-303
    2. Zhenning Yu, Jin Hyun Nam, Daniel Couch, Andrew Lawson, Dongjun Chung
      Pages 345-363
    3. Yan Zhou, Junhui Wang, Yichuan Zhao, Tiejun Tong
      Pages 365-384
  6. Survival Analysis

  7. Back Matter
    Pages 457-463

About this book

Introduction

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. 

Keywords

Biostatistical Procedures Adaptive Design High Dimensional Statistical Method Multivariate Survival Data Analysis Image Data Analysis Competing Risk Data Analysis Mixture Model Analysis Variable Selection Density Estimation Wavelet Functional Data Longitudinal Data Gene Expression Analysis Complex Data Analysis Data Mining Network Analysis fMRI data analysis

Editors and affiliations

  • Yichuan Zhao
    • 1
  • Ding-Geng Chen
    • 2
  1. 1.Department of Mathematics and StatisticsGeorgia State UniversityAtlantaUSA
  2. 2.Department of BiostatisticsGillings School of Global Public Health, University of North Carolina at Chapel HillChapel HillUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-99389-8
  • Copyright Information Springer Nature Switzerland AG 2018
  • Publisher Name Springer, Cham
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-3-319-99388-1
  • Online ISBN 978-3-319-99389-8
  • Series Print ISSN 2199-0980
  • Series Online ISSN 2199-0999
  • Buy this book on publisher's site
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