The Statistical Analysis Of Recurrent Events PDF Download
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| Author | : Richard J. Cook |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 415 |
| Release | : 2007-08-02 |
| Genre | : Medical |
| ISBN | : 0387698094 |
Download The Statistical Analysis of Recurrent Events Book in PDF, ePub 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.
| Author | : Richard J. Cook |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 415 |
| Release | : 2007-07-16 |
| Genre | : Medical |
| ISBN | : 0387698108 |
Download The Statistical Analysis of Recurrent Events Book in PDF, ePub 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.
| Author | : Richard J. Cook |
| Publisher | : Springer |
| Total Pages | : 0 |
| Release | : 2008-11-01 |
| Genre | : Medical |
| ISBN | : 9780387517773 |
Download The Statistical Analysis of Recurrent Events Book in PDF, ePub 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.
| Author | : Wayne B. Nelson |
| Publisher | : SIAM |
| Total Pages | : 157 |
| Release | : 2003-01-01 |
| Genre | : Technology & Engineering |
| ISBN | : 0898715229 |
Download Recurrent Events Data Analysis for Product Repairs, Disease Recurrences, and Other Applications Book in PDF, ePub and Kindle
Survival data consist of a single event for each population unit, namely, end of life, which is modeled with a life distribution. However, many applications involve repeated-events data, where a unit may accumulate numerous events over time. This applied book provides practitioners with basic nonparametric methods for such data.
| Author | : Jianguo Sun |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 283 |
| Release | : 2013-10-09 |
| Genre | : Medical |
| ISBN | : 1461487153 |
Download Statistical Analysis of Panel Count Data Book in PDF, ePub 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.
| Author | : Luc Duchateau |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 329 |
| Release | : 2007-10-23 |
| Genre | : Mathematics |
| ISBN | : 038772835X |
Download The Frailty Model Book in PDF, ePub 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.
| Author | : Odd Aalen |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 550 |
| Release | : 2008-09-16 |
| Genre | : Mathematics |
| ISBN | : 038768560X |
Download Survival and Event History Analysis Book in PDF, ePub 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.
| Author | : Melinda Mills |
| Publisher | : SAGE |
| Total Pages | : 301 |
| Release | : 2011-01-19 |
| Genre | : Social Science |
| ISBN | : 1848601026 |
Download Introducing Survival and Event History Analysis Book in PDF, ePub 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.
| Author | : Gyeongtae Hong |
| Publisher | : |
| Total Pages | : 0 |
| Release | : 2019 |
| Genre | : |
| ISBN | : |
Download Statistical Analysis of Recurrent Events by Point Process Book in PDF, ePub and Kindle
| Author | : John P. Klein |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 446 |
| Release | : 2013-03-09 |
| Genre | : Mathematics |
| ISBN | : 9401579830 |
Download Survival Analysis: State of the Art Book in PDF, ePub and Kindle
Survival analysis is a highly active area of research with applications spanning the physical, engineering, biological, and social sciences. In addition to statisticians and biostatisticians, researchers in this area include epidemiologists, reliability engineers, demographers and economists. The economists survival analysis by the name of duration analysis and the analysis of transition data. We attempted to bring together leading researchers, with a common interest in developing methodology in survival analysis, at the NATO Advanced Research Workshop. The research works collected in this volume are based on the presentations at the Workshop. Analysis of survival experiments is complicated by issues of censoring, where only partial observation of an individual's life length is available and left truncation, where individuals enter the study group if their life lengths exceed a given threshold time. Application of the theory of counting processes to survival analysis, as developed by the Scandinavian School, has allowed for substantial advances in the procedures for analyzing such experiments. The increased use of computer intensive solutions to inference problems in survival analysis~ in both the classical and Bayesian settings, is also evident throughout the volume. Several areas of research have received special attention in the volume.
