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Statistical Analysis of Panel Count Data

  • Jianguo Sun
  • Xingqiu Zhao

Part of the Statistics for Biology and Health book series (SBH, volume 80)

Table of contents

  1. Front Matter
    Pages i-xv
  2. Jianguo Sun, Xingqiu Zhao
    Pages 1-22
  3. Jianguo Sun, Xingqiu Zhao
    Pages 23-45
  4. Jianguo Sun, Xingqiu Zhao
    Pages 47-70
  5. Jianguo Sun, Xingqiu Zhao
    Pages 71-90
  6. Jianguo Sun, Xingqiu Zhao
    Pages 91-120
  7. Jianguo Sun, Xingqiu Zhao
    Pages 121-153
  8. Jianguo Sun, Xingqiu Zhao
    Pages 155-187
  9. Jianguo Sun, Xingqiu Zhao
    Pages 189-222
  10. Jianguo Sun, Xingqiu Zhao
    Pages 223-251
  11. Back Matter
    Pages 253-271

About this book

Introduction

Panel count data occur in studies that concern recurrent events, or event history studies, when study subjects are observed only at discrete time points.  By recurrent events, we mean the event that can occur or happen multiple times or repeatedly. Examples of recurrent events include disease infections, hospitalizations in medical studies, warranty claims of automobiles or system break-downs in reliability studies.  In fact, many other fields yield event history data too such as demographic studies, economic studies and social sciences.  For the cases where the study subjects are observed continuously, the resulting data  are usually referred to as recurrent event data.

This book collects and unifies statistical models and methods that have been developed for analyzing panel count data.  It provides the first comprehensive coverage of the topic. The main focus is on methodology, but for the benefit of the reader, the applications of the methods to real data are also discussed along with numerical calculations. There exists a great deal of literature on the analysis of recurrent event data. This book fills the void in the literature on the analysis of panel count data.

This book provides an up-to-date reference for scientists who are conducting research on the analysis of panel count data. It will also be instructional for those who need to analyze panel count data to answer substantive research questions.  In addition, it can be used as a text for a graduate course in statistics or biostatistics that assumes a basic knowledge of probability and statistics. 

Keywords

Biostatistics Nonparametric estimation Panel Count Data Parametric inference Point processes Poisson models Recurrent Event Data Regression Analysis

Authors and affiliations

  • Jianguo Sun
    • 1
  • Xingqiu Zhao
    • 2
  1. 1.Department of StatisticsUniversity of MissouriColumbiaUSA
  2. 2.Department of Applied MathematicsThe Hong Kong Polytechnic UniversityHong KongHong Kong SAR

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4614-8715-9
  • Copyright Information Springer Science+Business Media New York 2013
  • Publisher Name Springer, New York, NY
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-1-4614-8714-2
  • Online ISBN 978-1-4614-8715-9
  • Series Print ISSN 1431-8776
  • Series Online ISSN 2197-5671
  • Buy this book on publisher's site