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9780898715224 Academic Inspection Copy

Recurrent Events Data Analysis for Product Repairs, Disease Recurrences, and Other Applications

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Survival data typically consist of a single event for each population unit, namely, end of life, which is modeled with a life distribution. In contrast, many applications involve repeated-events data, where a sample unit may accumulate any number of events over time. Examples include the number and cost of repairs of products, the number and treatment costs of recurrent disease episodes in patients, and the number and costs of childbirths, divorces, etc. Recurrent Events Data Analysis for Product Repairs, Disease Recurrences, and Other Applications provides basic nonparametric methods for such data, especially the plot of the nonparametric estimate of the population mean cumulative function (MCF), which yields most of the information sought. An introduction, this book provides a unified presentation of graphical analysis of repeated-events data for practitioners. It is the first book to present a simple unified theory that includes data on "costs" or other "values" of discrete events, not just the number of recurrent events. It surveys computer programs that calculate and plot the MCF estimate with confidence limits, shows their output, and explains how to interpret such plots. Many such calculations can be easily done with a pocket calculator or spreadsheet program. In addition, the book provides methods for accumulated variables that vary continuously with time, and it briefly introduces basic regression models (Poisson, Cox) and parametric models (homogeneous and nonhomogeneous Poisson processes and renewal processes).
Preface Acknowledgements Chapter 1: Recurrent Events Data and Applications Chapter 2: Population Model, MCF, and Basic Concepts Chapter 3: MCF Estimates for Exact Age Data Chapter 4: MCF Confidence Limits for Exact Age Data Chapter 5: MCF Estimate and Limits for Interval Age Data Chapter 6: Analysis of a Mix of Events Chapter 7: Comparison of Samples Chapter 8: Survey of Related Topics References Index.
'The book is clearly written, to the point, and is easy to read. It is well suited for self-study by practitioners with introductory level background in statistics. It can also be used as a supplementary text in a graduate or upper level undergraduate course on reliability. I highly recommend this book to anyone interested in analysis of recurrence data.' Necip Doganaksoy, Journal of Quality Technology
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