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Modern Issues and Methods in Biostatistics

  • Mark┬áChang

Part of the Statistics for Biology and Health book series (SBH)

Table of contents

  1. Front Matter
    Pages i-xiv
  2. Mark Chang
    Pages 1-30
  3. Mark Chang
    Pages 59-86
  4. Mark Chang
    Pages 87-115
  5. Mark Chang
    Pages 117-143
  6. Mark Chang
    Pages 175-204
  7. Mark Chang
    Pages 205-231
  8. Mark Chang
    Pages 233-259
  9. Mark Chang
    Pages 261-289
  10. Back Matter
    Pages 291-307

About this book

Introduction

Classic biostatistics, a branch of statistical science, has as its main focus the applications of statistics in public health, the life sciences, and the pharmaceutical industry. Modern biostatistics, beyond just a simple application of statistics, is a confluence of statistics and knowledge of multiple intertwined fields. The application demands, the advancements in computer technology, and the rapid growth of life science data (e.g., genomics data) have promoted the formation of modern biostatistics. There are at least three characteristics of modern biostatistics: (1) in-depth engagement in the application fields that require penetration of knowledge across several fields, (2) high-level complexity of data because they are longitudinal, incomplete, or latent because they are heterogeneous due to a mixture of data or experiment types, because of high-dimensionality, which may make meaningful reduction impossible, or because of extremely small or large size; and (3) dynamics, the speed of development in methodology and analyses, has to match the fast growth of data with a constantly changing face.

This book is written for researchers, biostatisticians/statisticians, and scientists who are interested in quantitative analyses. The goal is to introduce modern methods in biostatistics and help researchers and students quickly grasp key concepts and methods. Many methods can solve the same problem and many problems can be solved by the same method, which becomes apparent when those topics are discussed in this single volume.

Keywords

Biostatistics

Authors and affiliations

  • Mark┬áChang
    • 1
  1. 1.BiometricsAMAG Pharmaceuticals, Inc.LexingtonUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4419-9842-2
  • Copyright Information Springer Science+Business Media, LLC 2011
  • Publisher Name Springer, New York, NY
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-1-4419-9841-5
  • Online ISBN 978-1-4419-9842-2
  • Series Print ISSN 1431-8776
  • Buy this book on publisher's site