Flowgraph Models for Multistate Time-to-Event Data

Beschreibung

A unique introduction to the innovative methodology of statisticalflowgraphs This book offers a practical, application-based approach toflowgraph models for time-to-event data. It clearly shows how thisinnovative new methodology can be used to analyze data fromsemi-Markov processes without prior knowledge of stochasticprocesses--opening the door to interesting applications in survivalanalysis and reliability as well as stochastic processes. Unlike other books on multistate time-to-event data, this workemphasizes reliability and not just biostatistics, illustratingeach method with medical and engineering examples. It demonstrateshow flowgraphs bring together applied probability techniques andcombine them with data analysis and statistical methods to answerquestions of practical interest. Bayesian methods of data analysisare emphasized. Coverage includes: * Clear instructions on how to model multistate time-to-event datausing flowgraph models * An emphasis on computation, real data, and Bayesian methods forproblem solving * Real-world examples for analyzing data from stochasticprocesses * The use of flowgraph models to analyze complex stochasticnetworks * Exercise sets to reinforce the practical approach of thisvolume Flowgraph Models for Multistate Time-to-Event Data is an invaluableresource/reference for researchers in biostatistics/survivalanalysis, systems engineering, and in fields that use stochasticprocesses, including anthropology, biology, psychology, computerscience, and engineering.

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Aparna V. Huzurbazar

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Biostatistics Biostatistik Electrical & Electronics Engineering Elektrotechnik u. Elektronik Engineering Statistics Qualität u. Zuverlässigkeit Quality & Reliability Statistics Statistik Statistik in den Ingenieurwissenschaften Technische Statistik

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"...this is a well-written book on a novel and interestingapproach to multistate modeling." (Biometrics, September2006) "This book is one that researchers interested in techniques formultistate models, either in reliability or biometry should lookat." (Journal of the American Statistical Association,September 2006) "...a real addition to the toolbox of both biostatisticianswho use survival analysis and reliability engineers who do failureanalysis on a regular basis." (Technometrics, February2006) "...illustrated with interesting examples...thebook is particularly welcome..." (InternationalStatistical Institute, January 2006) "...a useful...account of the use of flowgraphy or semi-Markovparametric models in both industrial and biological applications."(Journal of Biopharmaceutical Statistics, September/October2005) "Methods are explained comprehensively, with extensiveexamples...data analysts would find valuable examples here fortheir own applications." (Computing Reviews.com, June 2,2005) "Fruitful medical and engineering examples andapplications are presented..." (Zentralblatt Math,Vol.1055, No.06, 2005)
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