The Statistical Analysis of Recurrent Events Book

The Statistical Analysis of Recurrent Events


  • Author : Richard J. Cook
  • Publisher : Springer Science & Business Media
  • Date : 2007-08-02
  • Category : Medical
  • Pages : 404
  • ISBN : 9780387698090

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The Statistical Analysis of Recurrent Events in PDF, EPUB, Tuebl, Mobi and Kindle:

This book presents models and statistical methods for the analysis of recurrent event data. The authors provide broad, detailed coverage of the major approaches to analysis, while emphasizing the modeling assumptions that they are based on. More general intensity-based models are also considered, as well as simpler models that focus on rate or mean functions. Parametric, nonparametric and semiparametric methodologies are all covered, with procedures for estimation, testing and model checking.

Recurrent Events Data Analysis for Product Repairs  Disease Recurrences  and Other Applications Book

Recurrent Events Data Analysis for Product Repairs Disease Recurrences and Other Applications


  • Author : Wayne B. Nelson
  • Publisher : SIAM
  • Date : 2003-01-01
  • Category : Technology & Engineering
  • Pages : 151
  • ISBN : 9780898718454

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Recurrent Events Data Analysis for Product Repairs Disease Recurrences and Other Applications in PDF, EPUB, Tuebl, Mobi and Kindle:

Survival data consist of a single event for each population unit, namely, end of life, which is modeled with a life distribution. In contrast, many applications involve repeated-events data, where a unit may accumulate any number of events over time. Examples include the number and cost of repairs of products, the number and treatment costs of recurrent disease episodes in patients, and the number of childbirths to statisticians. This applied book provides practitioners with basic nonparametric methods for such data, particularly the plot of the estimate of the population mean cumulative function (MCF), which yields most of the information sought. Recurrent Events Data Analysis for Product Repairs, Disease Recurrences, and Other Applications is the first book to present a simple, unified theory that includes data on costs or other "values" of discrete events, not just the number of events. It surveys computer programs that calculate and plot the MCF estimate with confidence limits, shows their output, and explains how to interpret such plots. Many such calculations can be easily done with a pocket calculator or spreadsheet program. Also, the book introduces basic Poisson and Cox regression models and parametric models, including homogeneous and nonhomogeneous Poisson processes and renewal processes.

The Statistical Analysis of Recurrent Events Book

The Statistical Analysis of Recurrent Events


  • Author : Richard J. Cook
  • Publisher : Springer
  • Date : 2008-11-01
  • Category : Medical
  • Pages : 404
  • ISBN : 0387517774

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The Statistical Analysis of Recurrent Events in PDF, EPUB, Tuebl, Mobi and Kindle:

This book presents models and statistical methods for the analysis of recurrent event data. The authors provide broad, detailed coverage of the major approaches to analysis, while emphasizing the modeling assumptions that they are based on. More general intensity-based models are also considered, as well as simpler models that focus on rate or mean functions. Parametric, nonparametric and semiparametric methodologies are all covered, with procedures for estimation, testing and model checking.

The Frailty Model Book

The Frailty Model


  • Author : Luc Duchateau
  • Publisher : Springer Science & Business Media
  • Date : 2007-10-23
  • Category : Mathematics
  • Pages : 316
  • ISBN : 9780387728353

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The Frailty Model in PDF, EPUB, Tuebl, Mobi and Kindle:

Readers will find in the pages of this book a treatment of the statistical analysis of clustered survival data. Such data are encountered in many scientific disciplines including human and veterinary medicine, biology, epidemiology, public health and demography. A typical example is the time to death in cancer patients, with patients clustered in hospitals. Frailty models provide a powerful tool to analyze clustered survival data. In this book different methods based on the frailty model are described and it is demonstrated how they can be used to analyze clustered survival data. All programs used for these examples are available on the Springer website.

Proceedings of the First Seattle Symposium in Biostatistics  Survival Analysis Book

Proceedings of the First Seattle Symposium in Biostatistics Survival Analysis


  • Author : Danyu Lin
  • Publisher : Springer Science & Business Media
  • Date : 2012-12-06
  • Category : Medical
  • Pages : 309
  • ISBN : 9781468463163

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Proceedings of the First Seattle Symposium in Biostatistics Survival Analysis in PDF, EPUB, Tuebl, Mobi and Kindle:

The papers in this volume discuss important methodological advances in several important areas, including multivariate failure time data and interval censored data. The book will be an indispensable reference for researchers and practitioners in biostatistics, medical research, and the health sciences.

Introducing Survival and Event History Analysis Book

Introducing Survival and Event History Analysis


  • Author : Melinda Mills
  • Publisher : SAGE
  • Date : 2011-01-19
  • Category : Social Science
  • Pages : 279
  • ISBN : 9781848601024

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Introducing Survival and Event History Analysis in PDF, EPUB, Tuebl, Mobi and Kindle:

This book is an accessible, practical and comprehensive guide for researchers from multiple disciplines including biomedical, epidemiology, engineering and the social sciences. Written for accessibility, this book will appeal to students and researchers who want to understand the basics of survival and event history analysis and apply these methods without getting entangled in mathematical and theoretical technicalities. Inside, readers are offered a blueprint for their entire research project from data preparation to model selection and diagnostics. Engaging, easy to read, functional and packed with enlightening examples, ‘hands-on’ exercises, conversations with key scholars and resources for both students and instructors, this text allows researchers to quickly master advanced statistical techniques. It is written from the perspective of the ‘user’, making it suitable as both a self-learning tool and graduate-level textbook. Also included are up-to-date innovations in the field, including advancements in the assessment of model fit, unobserved heterogeneity, recurrent events and multilevel event history models. Practical instructions are also included for using the statistical programs of R, STATA and SPSS, enabling readers to replicate the examples described in the text.

The Econometric Analysis of Recurrent Events in Macroeconomics and Finance Book

The Econometric Analysis of Recurrent Events in Macroeconomics and Finance


  • Author : Don Harding
  • Publisher : Princeton University Press
  • Date : 2016-07-26
  • Category : Business & Economics
  • Pages : 232
  • ISBN : 9781400880935

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The Econometric Analysis of Recurrent Events in Macroeconomics and Finance in PDF, EPUB, Tuebl, Mobi and Kindle:

The global financial crisis highlighted the impact on macroeconomic outcomes of recurrent events like business and financial cycles, highs and lows in volatility, and crashes and recessions. At the most basic level, such recurrent events can be summarized using binary indicators showing if the event will occur or not. These indicators are constructed either directly from data or indirectly through models. Because they are constructed, they have different properties than those arising in microeconometrics, and how one is to use them depends a lot on the method of construction. This book presents the econometric methods necessary for the successful modeling of recurrent events, providing valuable insights for policymakers, empirical researchers, and theorists. It explains why it is inherently difficult to forecast the onset of a recession in a way that provides useful guidance for active stabilization policy, with the consequence that policymakers should place more emphasis on making the economy robust to recessions. The book offers a range of econometric tools and techniques that researchers can use to measure recurrent events, summarize their properties, and evaluate how effectively economic and statistical models capture them. These methods also offer insights for developing models that are consistent with observed financial and real cycles. This book is an essential resource for students, academics, and researchers at central banks and institutions such as the International Monetary Fund.

Survival and Event History Analysis Book

Survival and Event History Analysis


  • Author : Odd Aalen
  • Publisher : Springer Science & Business Media
  • Date : 2008-09-16
  • Category : Mathematics
  • Pages : 540
  • ISBN : 9780387685601

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Survival and Event History Analysis in PDF, EPUB, Tuebl, Mobi and Kindle:

The aim of this book is to bridge the gap between standard textbook models and a range of models where the dynamic structure of the data manifests itself fully. The common denominator of such models is stochastic processes. The authors show how counting processes, martingales, and stochastic integrals fit very nicely with censored data. Beginning with standard analyses such as Kaplan-Meier plots and Cox regression, the presentation progresses to the additive hazard model and recurrent event data. Stochastic processes are also used as natural models for individual frailty; they allow sensible interpretations of a number of surprising artifacts seen in population data. The stochastic process framework is naturally connected to causality. The authors show how dynamic path analyses can incorporate many modern causality ideas in a framework that takes the time aspect seriously. To make the material accessible to the reader, a large number of practical examples, mainly from medicine, are developed in detail. Stochastic processes are introduced in an intuitive and non-technical manner. The book is aimed at investigators who use event history methods and want a better understanding of the statistical concepts. It is suitable as a textbook for graduate courses in statistics and biostatistics.

The Statistical Analysis of Recurrent Events Book

The Statistical Analysis of Recurrent Events


  • Author : Richard J. Cook
  • Publisher : Springer Science & Business Media
  • Date : 2007-07-16
  • Category : Medical
  • Pages : 404
  • ISBN : 9780387698106

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The Statistical Analysis of Recurrent Events in PDF, EPUB, Tuebl, Mobi and Kindle:

This book presents models and statistical methods for the analysis of recurrent event data. The authors provide broad, detailed coverage of the major approaches to analysis, while emphasizing the modeling assumptions that they are based on. More general intensity-based models are also considered, as well as simpler models that focus on rate or mean functions. Parametric, nonparametric and semiparametric methodologies are all covered, with procedures for estimation, testing and model checking.

Handbook of Statistical Methods for Randomized Controlled Trials Book

Handbook of Statistical Methods for Randomized Controlled Trials


  • Author : KyungMann Kim
  • Publisher : CRC Press
  • Date : 2021-08-23
  • Category : Mathematics
  • Pages : 654
  • ISBN : 9781498714648

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Handbook of Statistical Methods for Randomized Controlled Trials in PDF, EPUB, Tuebl, Mobi and Kindle:

Statistical concepts provide scientific framework in experimental studies, including randomized controlled trials. In order to design, monitor, analyze and draw conclusions scientifically from such clinical trials, clinical investigators and statisticians should have a firm grasp of the requisite statistical concepts. The Handbook of Statistical Methods for Randomized Controlled Trials presents these statistical concepts in a logical sequence from beginning to end and can be used as a textbook in a course or as a reference on statistical methods for randomized controlled trials. Part I provides a brief historical background on modern randomized controlled trials and introduces statistical concepts central to planning, monitoring and analysis of randomized controlled trials. Part II describes statistical methods for analysis of different types of outcomes and the associated statistical distributions used in testing the statistical hypotheses regarding the clinical questions. Part III describes some of the most used experimental designs for randomized controlled trials including the sample size estimation necessary in planning. Part IV describe statistical methods used in interim analysis for monitoring of efficacy and safety data. Part V describe important issues in statistical analyses such as multiple testing, subgroup analysis, competing risks and joint models for longitudinal markers and clinical outcomes. Part VI addresses selected miscellaneous topics in design and analysis including multiple assignment randomization trials, analysis of safety outcomes, non-inferiority trials, incorporating historical data, and validation of surrogate outcomes.

The Statistical Analysis of Failure Time Data Book

The Statistical Analysis of Failure Time Data


  • Author : John D. Kalbfleisch
  • Publisher : John Wiley & Sons
  • Date : 2011-01-25
  • Category : Mathematics
  • Pages : 462
  • ISBN : 9781118031230

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The Statistical Analysis of Failure Time Data in PDF, EPUB, Tuebl, Mobi and Kindle:

Contains additional discussion and examples on left truncationas well as material on more general censoring and truncationpatterns. Introduces the martingale and counting process formulation swillbe in a new chapter. Develops multivariate failure time data in a separate chapterand extends the material on Markov and semi Markovformulations. Presents new examples and applications of data analysis.

Multistate Models for the Analysis of Life History Data Book

Multistate Models for the Analysis of Life History Data


  • Author : Richard J Cook
  • Publisher : CRC Press
  • Date : 2018-05-15
  • Category : Mathematics
  • Pages : 440
  • ISBN : 9781351646055

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Multistate Models for the Analysis of Life History Data in PDF, EPUB, Tuebl, Mobi and Kindle:

Multistate Models for the Analysis of Life History Data provides the first comprehensive treatment of multistate modeling and analysis, including parametric, nonparametric and semiparametric methods applicable to many types of life history data. Special models such as illness-death, competing risks and progressive processes are considered, as well as more complex models. The book provides both theoretical development and illustrations of analysis based on data from randomized trials and observational cohort studies in health research. Features Discusses a wide range of applications of multistate models Presents methods for both continuously and intermittently observed life history processes Gives a thorough discussion of conditionally independent censoring and observation processes Discusses models with random effects and joint models for two or more multistate processes Discusses and illustrates software for multistate analysis that is available in R Target audience includes those engaged in research and applications involving multistate models Richard Cook is Canada Research Chair in Statistical Methods for Health Research at the University of Waterloo. He has received the Gold Medal of the Statistical Society of Canada and is a Fellow of the American Statistical Association. He collaborates and consults widely on health research and has given many short courses. He and Dr. Lawless previously coauthored the influential book, The Statistical Analysis of Recurrent Events (Springer, 2007). Jerald Lawless is Distinguished Professor Emeritus at the University of Waterloo. He is a Fellow of the Royal Society of Canada, a Gold Medal recipient of the Statistical Society of Canada and Fellow of the American Statistical Association. He is a past editor of Technometrics and has collaborated and consulted in numerous areas. He has presented many short courses, with Dr. Cook and individually. "The authors of the book are internationally renowned experts in the field of multi-s

Statistical Analysis of Panel Count Data Book

Statistical Analysis of Panel Count Data


  • Author : Jianguo Sun
  • Publisher : Springer Science & Business Media
  • Date : 2013-10-09
  • Category : Medical
  • Pages : 271
  • ISBN : 9781461487159

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Statistical Analysis of Panel Count Data in PDF, EPUB, Tuebl, Mobi and Kindle:

Panel count data occur in studies that concern recurrent events, or event history studies, when study subjects are observed only at discrete time points. By recurrent events, we mean the event that can occur or happen multiple times or repeatedly. Examples of recurrent events include disease infections, hospitalizations in medical studies, warranty claims of automobiles or system break-downs in reliability studies. In fact, many other fields yield event history data too such as demographic studies, economic studies and social sciences. For the cases where the study subjects are observed continuously, the resulting data are usually referred to as recurrent event data. This book collects and unifies statistical models and methods that have been developed for analyzing panel count data. It provides the first comprehensive coverage of the topic. The main focus is on methodology, but for the benefit of the reader, the applications of the methods to real data are also discussed along with numerical calculations. There exists a great deal of literature on the analysis of recurrent event data. This book fills the void in the literature on the analysis of panel count data. This book provides an up-to-date reference for scientists who are conducting research on the analysis of panel count data. It will also be instructional for those who need to analyze panel count data to answer substantive research questions. In addition, it can be used as a text for a graduate course in statistics or biostatistics that assumes a basic knowledge of probability and statistics.

Applied Survival Analysis Book
Stars 5
From 1 Global Ratings

Applied Survival Analysis


  • Author : David W. Hosmer, Jr.
  • Publisher : John Wiley & Sons
  • Date : 2011-09-23
  • Category : Mathematics
  • Pages : 416
  • ISBN : 9781118211588

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Applied Survival Analysis in PDF, EPUB, Tuebl, Mobi and Kindle:

THE MOST PRACTICAL, UP-TO-DATE GUIDE TO MODELLING AND ANALYZING TIME-TO-EVENT DATA—NOW IN A VALUABLE NEW EDITION Since publication of the first edition nearly a decade ago, analyses using time-to-event methods have increase considerably in all areas of scientific inquiry mainly as a result of model-building methods available in modern statistical software packages. However, there has been minimal coverage in the available literature to9 guide researchers, practitioners, and students who wish to apply these methods to health-related areas of study. Applied Survival Analysis, Second Edition provides a comprehensive and up-to-date introduction to regression modeling for time-to-event data in medical, epidemiological, biostatistical, and other health-related research. This book places a unique emphasis on the practical and contemporary applications of regression modeling rather than the mathematical theory. It offers a clear and accessible presentation of modern modeling techniques supplemented with real-world examples and case studies. Key topics covered include: variable selection, identification of the scale of continuous covariates, the role of interactions in the model, assessment of fit and model assumptions, regression diagnostics, recurrent event models, frailty models, additive models, competing risk models, and missing data. Features of the Second Edition include: Expanded coverage of interactions and the covariate-adjusted survival functions The use of the Worchester Heart Attack Study as the main modeling data set for illustrating discussed concepts and techniques New discussion of variable selection with multivariable fractional polynomials Further exploration of time-varying covariates, complex with examples Additional treatment of the exponential, Weibull, and log-logistic parametric regression models Increased emphasis on interpreting and using results as well as utilizing multiple imputation methods to analyze data with missing values New examples and

Statistical Methods for Reliability Data Book

Statistical Methods for Reliability Data


  • Author : William Q. Meeker
  • Publisher : John Wiley & Sons
  • Date : 2022-01-24
  • Category : Technology & Engineering
  • Pages : 704
  • ISBN : 9781118594483

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Statistical Methods for Reliability Data in PDF, EPUB, Tuebl, Mobi and Kindle:

An authoritative guide to the most recent advances in statistical methods for quantifying reliability Statistical Methods for Reliability Data, Second Edition (SMRD2) is an essential guide to the most widely used and recently developed statistical methods for reliability data analysis and reliability test planning. Written by three experts in the area, SMRD2 updates and extends the long- established statistical techniques and shows how to apply powerful graphical, numerical, and simulation-based methods to a range of applications in reliability. SMRD2 is a comprehensive resource that describes maximum likelihood and Bayesian methods for solving practical problems that arise in product reliability and similar areas of application. SMRD2 illustrates methods with numerous applications and all the data sets are available on the book’s website. Also, SMRD2 contains an extensive collection of exercises that will enhance its use as a course textbook. The SMRD2's website contains valuable resources, including R packages, Stan model codes, presentation slides, technical notes, information about commercial software for reliability data analysis, and csv files for the 93 data sets used in the book's examples and exercises. The importance of statistical methods in the area of engineering reliability continues to grow and SMRD2 offers an updated guide for, exploring, modeling, and drawing conclusions from reliability data. SMRD2 features: Contains a wealth of information on modern methods and techniques for reliability data analysis Offers discussions on the practical problem-solving power of various Bayesian inference methods Provides examples of Bayesian data analysis performed using the R interface to the Stan system based on Stan models that are available on the book's website Includes helpful technical-problem and data-analysis exercise sets at the end of every chapter Presents illustrative computer graphics that highlight data, results of analyses, and technical concepts