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The Statistical Analysis of Interval-censored Failure Time Data (Hardcover, 2006 ed.)
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The Statistical Analysis of Interval-censored Failure Time Data (Hardcover, 2006 ed.)
Series: Statistics for Biology and Health
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Survival analysis, the analysis of failure time data, is a rapid
developing area and a number of books on the topic have been
published in last twenty-five years. However, all of these books
deal with right-censored failure time data, not the analysis of
interval-censored failure time data. Interval-censored data include
right-censored data as a special case and occur in many fields. The
analysis of interval-censored data is much more difficult than that
of right-censored data because the censoring mechanism that yields
interval censoring is more complicated than that for right
censoring. 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. A number of inference approaches are discussed
in the book, including the maximum likelihood, estimating
equations, sieve maximum likelihood, and conditional likelihood.
data is that the theory of counting processes, which is responsible
for substantial advances in the theory and development of modern
statistical methods for right-censored data, is not applicable to
interval-censored data. The focus of the book is on nonparametric
and semiparametric inferences, but it also describes parametric and
imputation approaches. In addition, Bayesian methods and the
analysis of interval-censored data with informative interval
censoring are considered as well as the analysis of
interval-censored recurrent event, or panel count, data. 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 that assume a basic
knowledge of probability and statistics.Jianguo (Tony) Sun is a
professor at the Department of Statistics of the University of
Missouri-Columbia. interval-censored failure time data and panel
count data over the last fifteen years.
General
Imprint: |
Springer-Verlag New York
|
Country of origin: |
United States |
Series: |
Statistics for Biology and Health |
Release date: |
June 2006 |
First published: |
2006 |
Authors: |
Jianguo Sun
|
Dimensions: |
235 x 155 x 19mm (L x W x T) |
Format: |
Hardcover
|
Pages: |
304 |
Edition: |
2006 ed. |
ISBN-13: |
978-0-387-32905-5 |
Categories: |
Books >
Science & Mathematics >
Mathematics >
Probability & statistics
|
LSN: |
0-387-32905-6 |
Barcode: |
9780387329055 |
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