Recurrent Events Data Analysis for Product Repairs, Disease Recurrences, and Other Applications available in Hardcover
- Pub. Date:
Survival data 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 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 of childbirths to statisticians. This applied book provides practitioners with basic nonparametric methods for such data, particularly the plot of the estimate of the population mean cumulative function (MCF), which yields most of the information sought. Recurrent Events Data Analysis for Product Repairs, Disease Recurrences, and Other Applications 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 events.
|Series:||ASA-SIAM Series on Statistics and Applied Probability|
|Product dimensions:||5.98(w) x 8.98(h) x 0.55(d)|
Table of ContentsPreface; Acknowledgements; 1. Recurrent Events Data and Applications; 2. Population Model, MCF, and Basic Concepts; 3. MCF Estimates for Exact Age Data; 4. MCF Confidence Limits for Exact Age Data; 5. MCF Estimate and Limits for Interval Age Data; 6. Analysis of a Mix of Events; 7.Comparison of Samples; 8. Survey of Related Topics; References; Index.