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portada Recurrent Events Data Analysis for Product Repairs, Disease Recurrences, and Other Applications
Type
Physical Book
Publisher
Author
Collection
ASA-SIAM Series on Statistics and Applied Probability
Year
2002
Language
English
Pages
162
Format
Hardcover
Dimensions
22.90 x 15.20 cm
ISBN13
9780898715224

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

Wayne B. Nelson (Author) · SIAM - Society for Industrial and Applied Mathematics · Hardcover

Recurrent Events Data Analysis for Product Repairs, Disease Recurrences, and Other Applications - Wayne B. Nelson

New Book Imported to Austria
Delivery: 19 Aug - 21 Aug Shipping: 13 to 14 business days.
160,31 €
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Synopsis "Recurrent Events Data Analysis for Product Repairs, Disease Recurrences, and Other Applications"

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. It surveys computer programs that calculate and plot the MCF estimate with confidence limits, shows their output, and explains how to interpret such plots.

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. 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. Also, the book introduces basic Poisson and Cox regression models and parametric models, including homogeneous and nonhomogeneous Poisson processes and renewal processes.

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