Statistics for Biology and Health

Statistical Analysis of Panel Count Data

Authors: Sun, Jianguo, Zhao, Xingqiu

  • First comprehensive book on Panel Count Data
  • Complements existing resources on recurrent event data
  • Techniques on regression and parametric and non-parametric methods covered in detail along with gamut of mathematical calculations
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eBook $84.99
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  • ISBN 978-1-4614-8715-9
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  • ISBN 978-1-4614-8714-2
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Softcover $109.00
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About this book

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. 

About the authors

Jianguo (Tony) Sun is a professor at the Department of Statistics of the University of Missouri.  He obtained his Ph.D. at the University of Waterloo and has been developing novel statistical methods for the analysis of interval-censored failure time data and panel count data over the last 20 years.  In particular, he published "The Statistical Analysis of Interval-censored Failure Time Data" (Springer, 2006), the first book on interval-censored data.  He also co-authored with Drs. Chen and Peace the volume "Interval-censored Time-to-Event Data: Methods and Applications" (Chapman and Hall, 2012).

Xingqiu Zhao is a faculty member of The Hong Kong Polytechnic University and she obtained her Ph.D. at McMaster University.  Her research interests include econometrics, financial mathematics, longitudinal data analysis, stochastic process models and applications, survival analysis, and time series analysis.  In particular, she has published many papers on new statistical inference procedures for analyzing interval-censored failure time data, recurrent event data and panel count data.

Reviews

From the reviews:

“The book under review presents on a total of 271 pages an introduction into the methodology of analysing panel count data. It addresses to scientists and graduate students with basic knowledge about probability theory and statistics. … the book under review is recommended to researchers with strong background of probability and statistics interested in methodology on panel count data.” (Iris Burkholder, zbMATH, Vol. 1282, 2014)

Table of contents (9 chapters)

  • Introduction

    Sun, Jianguo (et al.)

    Pages 1-22

  • Poisson Models and Parametric Inference

    Sun, Jianguo (et al.)

    Pages 23-45

  • Nonparametric Estimation

    Sun, Jianguo (et al.)

    Pages 47-70

  • Nonparametric Comparison of Point Processes

    Sun, Jianguo (et al.)

    Pages 71-90

  • Regression Analysis of Panel Count Data I

    Sun, Jianguo (et al.)

    Pages 91-120

Buy this book

eBook $84.99
price for USA (gross)
  • ISBN 978-1-4614-8715-9
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $109.00
price for USA
  • ISBN 978-1-4614-8714-2
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $109.00
price for USA
  • ISBN 978-1-4939-4207-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Rent the ebook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
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Bibliographic Information

Bibliographic Information
Book Title
Statistical Analysis of Panel Count Data
Authors
Series Title
Statistics for Biology and Health
Series Volume
80
Copyright
2013
Publisher
Springer-Verlag New York
Copyright Holder
Springer Science+Business Media New York
eBook ISBN
978-1-4614-8715-9
DOI
10.1007/978-1-4614-8715-9
Hardcover ISBN
978-1-4614-8714-2
Softcover ISBN
978-1-4939-4207-7
Series ISSN
1431-8776
Edition Number
1
Number of Pages
XV, 271
Number of Illustrations and Tables
7 b/w illustrations, 11 illustrations in colour
Topics