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Statistical Analysis of Panel Count Data Jianguo Sun

Statistical Analysis of Panel Count Data By Jianguo Sun

Statistical Analysis of Panel Count Data by Jianguo Sun


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Summary

Panel count data occur in studies that concern recurrent events, or event history studies, when study subjects are observed only at discrete time points.

Statistical Analysis of Panel Count Data Summary

Statistical Analysis of Panel Count Data by Jianguo Sun

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.

Statistical Analysis of 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)

About Jianguo Sun

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.

Table of Contents

Introduction.- Poisson Models and Parameter Inference.- Nonparametric Estimation.- Nonparametric Comparison of Point Processes.- Regression Analysis of Panel Count Data I and II.- Analysis of Multivariate Panel Count Data.- Other Topics.- Some Sets of Data.- References.- Index.

Additional information

NLS9781493942077
9781493942077
1493942077
Statistical Analysis of Panel Count Data by Jianguo Sun
New
Paperback
Springer-Verlag New York Inc.
2016-08-23
271
N/A
Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
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