Автор: Moore, Dirk F. Название: Applied survival analysis using r ISBN: 331931243X ISBN-13(EAN): 9783319312439 Издательство: Springer Рейтинг: Цена: 46570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Applied Survival Analysis Using R covers the main principles of survival analysis, gives examples of how it is applied, and teaches how to put those principles to use to analyze data using R as a vehicle.
Автор: Nicholas P. Jewell; Alan C. Kimber; Mei-Ling Ting Название: Lifetime Data: Models in Reliability and Survival Analysis ISBN: 0792337832 ISBN-13(EAN): 9780792337836 Издательство: Springer Рейтинг: Цена: 194730.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Contains a selection of papers based on the 1994 International Research Conference on Lifetime Data Models in Reliability and Survival Analysis, held at Harvard University.
Автор: Jo?o Lita da Silva; Frederico Caeiro; Isabel Nat?r Название: Advances in Regression, Survival Analysis, Extreme Values, Markov Processes and Other Statistical Applications ISBN: 3642446299 ISBN-13(EAN): 9783642446290 Издательство: Springer Рейтинг: Цена: 194730.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This volume of the Selected Papers from Portugal is a product of the Seventeenth Congress of the Portuguese Statistical Society, held at the beautiful resort seaside city of Sesimbra, Portugal, from September 30 to October 3, 2009.
Автор: Smith, Peter J. (royal Melbourne Institute Of Technology, Australia) Название: Analysis of failure and survival data ISBN: 1584880759 ISBN-13(EAN): 9781584880752 Издательство: Taylor&Francis Рейтинг: Цена: 96970.00 T Наличие на складе: Нет в наличии. Описание: Suitable for students of survival analysis and reliability, this textbook integrates the use of contemporary statistical software output throughout the text along with a variety of real data sets so readers can see how theories and techniques are applied. It also brings to light linear regression techniques.
Автор: Klein, John P. Название: Handbook of Survival Analysis ISBN: 1466555661 ISBN-13(EAN): 9781466555662 Издательство: Taylor&Francis Рейтинг: Цена: 193950.00 T Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Lee Название: Statistical Methods for Survival Data Analysis, 4th Edition ISBN: 1118095022 ISBN-13(EAN): 9781118095027 Издательство: Wiley Рейтинг: Цена: 120330.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Upgraded to reflect the latest research and software applications on the topic, this new edition continues to provide a comprehensive introduction to the statistical methods for analyzing survival data.
Автор: David G. Kleinbaum; Mitchel Klein Название: Survival Analysis ISBN: 1493950185 ISBN-13(EAN): 9781493950188 Издательство: Springer Рейтинг: Цена: 74530.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
This greatly expanded second edition of Survival Analysis- A Self-learning Text provides a highly readable description of state-of-the-art methods of analysis of survival/event-history data. This text is suitable for researchers and statisticians working in the medical and other life sciences as well as statisticians in academia who teach introductory and second-level courses on survival analysis. The second edition continues to use the unique "lecture-book" format of the first (1996) edition with the addition of three new chapters on advanced topics:
Chapter 7: Parametric Models
Chapter 8: Recurrent events
Chapter 9: Competing Risks.
Also, the Computer Appendix has been revised to provide step-by-step instructions for using the computer packages STATA (Version 7.0), SAS (Version 8.2), and SPSS (version 11.5) to carry out the procedures presented in the main text.
The original six chapters have been modified slightly
to expand and clarify aspects of survival analysis in response to suggestions by students, colleagues and reviewers, and
to add theoretical background, particularly regarding the formulation of the (partial) likelihood functions for proportional hazards, stratified, and extended Cox regression models
David Kleinbaum is Professor of Epidemiology at the Rollins School of Public Health at Emory University, Atlanta, Georgia. Dr. Kleinbaum is internationally known for innovative textbooks and teaching on epidemiological methods, multiple linear regression, logistic regression, and survival analysis. He has provided extensive worldwide short-course training in over 150 short courses on statistical and epidemiological methods. He is also the author of ActivEpi (2002), an interactive computer-based instructional text on fundamentals of epidemiology, which has been used in a variety of educational environments including distance learning.
Mitchel Klein is Research Assistant Professor with a joint appointment in the Department of Environmental and Occupational Health (EOH) and the Department of Epidemiology, also at the Rollins School of Public Health at Emory University. Dr. Klein is also co-author with Dr. Kleinbaum of the second edition of Logistic Regression- A Self-Learning Text (2002). He has regularly taught epidemiologic methods courses at Emory to graduate students in public health and in clinical medicine. He is responsible for the epidemiologic methods training of physicians enrolled in Emory's Master of Science in Clinical Research Program, and has collaborated with Dr. Kleinbaum both nationally and internationally in teaching several short courses on various topics in epidemiologic methods.
Автор: Odd Aalen; Ornulf Borgan; Hakon Gjessing Название: Survival and Event History Analysis ISBN: 1441919090 ISBN-13(EAN): 9781441919090 Издательство: Springer Рейтинг: Цена: 135090.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This text bridges the gap between standard models, and those where the dynamic structure of the data manifests itself fully. The common thread is stochastic processes. The authors show how martingales and stochastic integrals fit with censored data.
Автор: Zhou, Mai Название: Empirical likelihood method in survival analysis ISBN: 0367377578 ISBN-13(EAN): 9780367377571 Издательство: Taylor&Francis Рейтинг: Цена: 65320.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Add the Empirical Likelihood to Your Nonparametric Toolbox
Empirical Likelihood Method in Survival Analysis explains how to use the empirical likelihood method for right censored survival data. The author uses R for calculating empirical likelihood and includes many worked out examples with the associated R code. The datasets and code are available for download on his website and CRAN.
The book focuses on all the standard survival analysis topics treated with empirical likelihood, including hazard functions, cumulative distribution functions, analysis of the Cox model, and computation of empirical likelihood for censored data. It also covers semi-parametric accelerated failure time models, the optimality of confidence regions derived from empirical likelihood or plug-in empirical likelihood ratio tests, and several empirical likelihood confidence band results.
While survival analysis is a classic area of statistical study, the empirical likelihood methodology has only recently been developed. Until now, just one book was available on empirical likelihood and most statistical software did not include empirical likelihood procedures. Addressing this shortfall, this book provides the functions to calculate the empirical likelihood ratio in survival analysis as well as functions related to the empirical likelihood analysis of the Cox regression model and other hazard regression models.
Автор: Nag, Avishek Название: Survival analysis with python ISBN: 1032148268 ISBN-13(EAN): 9781032148267 Издательство: Taylor&Francis Рейтинг: Цена: 58170.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Survival analysis uses statistics to calculate time to failure. The book takes a fresh look at this complex subject by explaining how to use the Python programming language to perform this type of analysis.
Автор: Frank E. Harrell Название: Regression Modeling Strategies ISBN: 1441929185 ISBN-13(EAN): 9781441929181 Издательство: Springer Рейтинг: Цена: 83810.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: There are many books that are excellent sources of knowledge about individual stastical tools (survival models, general linear models, etc.), but the art of data analysis is about choosing and using multiple tools. In the words of Chatfield ..".students typically know the technical details of regressin for example, but not necessarily when and how to apply it. This argues the need for a better balance in the literature and in statistical teaching between techniques and problem solving strategies." Whether analyzing risk factors, adjusting for biases in observational studies, or developing predictive models, there are common problems that few regression texts address. For example, there are missing data in the majority of datasets one is likely to encounter (other than those used in textbooks ) but most regression texts do not include methods for dealing with such data effectively, and texts on missing data do not cover regression modeling.
Автор: Karim MD Rezaul, Islam M. Ataharul Название: Reliability and Survival Analysis ISBN: 9811397759 ISBN-13(EAN): 9789811397752 Издательство: Springer Рейтинг: Цена: 111790.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book presents and standardizes statistical models and methods that can be directly applied to both reliability and survival analysis. These two types of analysis are widely used in many fields, including engineering, management, medicine, actuarial science, the environmental sciences, and the life sciences. Though there are a number of books on reliability analysis and a handful on survival analysis, there are virtually no books on both topics and their overlapping concepts. Offering an essential textbook, this book will benefit students, researchers, and practitioners in reliability and survival analysis, reliability engineering, biostatistics, and the biomedical sciences.
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