Книга "Анализ выживаемости. Модели и приложения" посвящена изучению последовательных событий, управляемых вероятностными законами. За последние десятилетия методы анализа выживаемости нашли применение в различных областях науки. В книге представлены как классические модели и теории выживаемости, так и новые методы и техники. Читатели узнают, как проводить анализ данных о выживаемости, изучая многочисленные примеры на языке SAS. Книга "Анализ выживаемости. Модели и приложения" представляет базовые методы и теории, а затем переходит к более сложным темам. Для работы с книгой необходимо минимальное знание языка SAS, но даже опытные пользователи смогут изучить новые методы обработки данных. Книга содержит множество примеров кода на языке SAS, поясняющих каждый метод, а также пошаговые инструкции для выполнения каждой техники. Книга охватывает широкий спектр методов и техник анализа выживаемости, от простых до сложных, и может быть использована в качестве справочника для планировщиков, исследователей и преподавателей, работающих с различными событиями в жизни. Ученые, интересующиеся анализом выживаемости, найдут в ней полезное руководство для включения данных и методов выживаемости в свои проекты.
This title deals with survival analysis topics, which encompasses sequential events that are ruled by probability laws. The publication period has seen many applications of analysis of survivability in different areas. This text introduces both classical models and ideas alongside recently developed techniques and reveals analysis of survivable data through diverse applications in SAS software.
The principal objective of this essential reference guide is to present an initial understanding of basic concepts before progressing on to more advanced sections in survivable analysis. Along with the initial texts, therefore, these papers enable more skilled analysts to gain knowledge regarding advanced processes of data scanning and processing.
Books illustrates numerous examples illustrating sets of codes written in SAS, demonstrating each approach, covering not just how to carry out each assisting process but also provides step-by step guidance to execute each method, summarizing the characteristics' potentialities and limitations. Focusing on a tremendous range of supporting methods and strategies, starting from introductory ones to the more complex, this work may be utilized as an indispensable reference source for managers, consultants, and academic researchers working inside various cycles and time. Science students interested in analysis of survivability should discover it as useful resource to conjoin survivable information and techniques into their studies.
Электронная Книга «Survival Analysis. Models and Applications» написана автором Xian Liu в году.
Минимальный возраст читателя: 0
Язык: Английский
ISBN: 9781118307663
Описание книги от Xian Liu
Survival analysis concerns sequential occurrences of events governed by probabilistic laws. Recent decades have witnessed many applications of survival analysis in various disciplines. This book introduces both classic survival models and theories along with newly developed techniques. Readers will learn how to perform analysis of survival data by following numerous empirical illustrations in SAS. Survival Analysis: Models and Applications: Presents basic techniques before leading onto some of the most advanced topics in survival analysis. Assumes only a minimal knowledge of SAS whilst enabling more experienced users to learn new techniques of data input and manipulation. Provides numerous examples of SAS code to illustrate each of the methods, along with step-by-step instructions to perform each technique. Highlights the strengths and limitations of each technique covered. Covering a wide scope of survival techniques and methods, from the introductory to the advanced, this book can be used as a useful reference book for planners, researchers, and professors who are working in settings involving various lifetime events. Scientists interested in survival analysis should find it a useful guidebook for the incorporation of survival data and methods into their projects.
