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{ "item_title" : "The Statistical Analysis of Interval-Censored Failure Time Data", "item_author" : [" Jianguo Sun "], "item_description" : "This book collects and unifies statistical models and methods that have been proposed for analyzing interval-censored failure time data. It provides the first comprehensive coverage of the topic of interval-censored data and complements the books on right-censored data. The focus of the book is on nonparametric and semiparametric inferences, but it also describes parametric and imputation approaches. This book provides an up-to-date reference for people who are conducting research on the analysis of interval-censored failure time data as well as for those who need to analyze interval-censored data to answer substantive questions. It can also be used as a text for a graduate course in statistics or biostatistics. It assumes a basic knowledge of probability and statistics.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/1/44/192/192/1441921923_b.jpg", "price_data" : { "retail_price" : "199.99", "online_price" : "199.99", "our_price" : "199.99", "club_price" : "199.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
The Statistical Analysis of Interval-Censored Failure Time Data|Jianguo Sun

The Statistical Analysis of Interval-Censored Failure Time Data

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Overview

This book collects and unifies statistical models and methods that have been proposed for analyzing interval-censored failure time data. It provides the first comprehensive coverage of the topic of interval-censored data and complements the books on right-censored data. The focus of the book is on nonparametric and semiparametric inferences, but it also describes parametric and imputation approaches. This book provides an up-to-date reference for people who are conducting research on the analysis of interval-censored failure time data as well as for those who need to analyze interval-censored data to answer substantive questions. It can also be used as a text for a graduate course in statistics or biostatistics. It assumes a basic knowledge of probability and statistics.

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Details

  • ISBN-13: 9781441921925
  • ISBN-10: 1441921923
  • Publisher: Springer
  • Publish Date: November 2010
  • Dimensions: 9.21 x 6.14 x 0.67 inches
  • Shipping Weight: 0.99 pounds
  • Page Count: 304

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