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Books > Medicine > General issues > Public health & preventive medicine > Epidemiology & medical statistics
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Interval-Censored Time-to-Event Data - Methods and Applications (Paperback)
Loot Price: R1,584
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Interval-Censored Time-to-Event Data - Methods and Applications (Paperback)
Series: Chapman & Hall/CRC Biostatistics Series
Expected to ship within 12 - 19 working days
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Interval-Censored Time-to-Event Data: Methods and Applications
collects the most recent techniques, models, and computational
tools for interval-censored time-to-event data. Top
biostatisticians from academia, biopharmaceutical industries, and
government agencies discuss how these advances are impacting
clinical trials and biomedical research. Divided into three parts,
the book begins with an overview of interval-censored data
modeling, including nonparametric estimation, survival functions,
regression analysis, multivariate data analysis, competing risks
analysis, and other models for interval-censored data. The next
part presents interval-censored methods for current status data,
Bayesian semiparametric regression analysis of interval-censored
data with monotone splines, Bayesian inferential models for
interval-censored data, an estimator for identifying causal effect
of treatment, and consistent variance estimation for
interval-censored data. In the final part, the contributors use
Monte Carlo simulation to assess biases in progression-free
survival analysis as well as correct bias in interval-censored
time-to-event applications. They also present adaptive decision
making methods to optimize the rapid treatment of stroke, explore
practical issues in using weighted logrank tests, and describe how
to use two R packages. A practical guide for biomedical
researchers, clinicians, biostatisticians, and graduate students in
biostatistics, this volume covers the latest developments in the
analysis and modeling of interval-censored time-to-event data. It
shows how up-to-date statistical methods are used in
biopharmaceutical and public health applications.
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