£62.75

Springer Statistical Analysis of Interval-Censored Failure Time Data

9780387329055

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Description

This comprehensive guide addresses a critical gap in survival analysis literature by focusing exclusively on interval-censored failure time data, a topic largely overlooked by existing publications. Interval censoring occurs across numerous scientific and medical fields, yet analysing such data presents significantly greater complexity than traditional right-censored approaches due to the intricate censoring mechanisms involved. Published by Springer as part of the Statistics for Biology and Health series, this book provides researchers, statisticians, and healthcare practitioners with essential methodologies for handling real-world data where exact failure times remain unknown but are known to fall within specific time intervals. The text builds on decades of survival analysis development whilst addressing the unique challenges that interval-censored data presents, making it an indispensable resource for professionals tackling incomplete or bounded failure time measurements in medical research, clinical trials, and biological studies.

Key Features

Springer publication specialising in interval-censored failure time data analysis, filling a gap in existing survival analysis literature.

Comprehensive coverage of censoring mechanisms and statistical methods specific to interval-censored data, which are more complex than right-censored approaches.

Part of the Statistics for Biology and Health series, designed for researchers working in medical, biological, and healthcare fields.

Practical guidance for analysing real-world data where exact failure times are unknown but bounded within specific time intervals.

Essential reference for statisticians, healthcare practitioners, and researchers handling incomplete survival data in clinical and biological applications.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
21 June 2006
Listed Since
04 January 2007

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No barcode data available

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