Modeling Discrete Time-to-Event Data

Springer
Free sample

This book focuses on statistical methods for the analysis of discrete failure times. Failure time analysis is one of the most important fields in statistical research, with applications affecting a wide range of disciplines, in particular, demography, econometrics, epidemiology and clinical research. Although there are a large variety of statistical methods for failure time analysis, many techniques are designed for failure times that are measured on a continuous scale. In empirical studies, however, failure times are often discrete, either because they have been measured in intervals (e.g., quarterly or yearly) or because they have been rounded or grouped. The book covers well-established methods like life-table analysis and discrete hazard regression models, but also introduces state-of-the art techniques for model evaluation, nonparametric estimation and variable selection. Throughout, the methods are illustrated by real life applications, and relationships to survival analysis in continuous time are explained. Each section includes a set of exercises on the respective topics. Various functions and tools for the analysis of discrete survival data are collected in the R package discSurv that accompanies the book.
Read more
Collapse

About the author

Gerhard Tutz is a professor of statistics at the Department of Statistics at the University of Munich. He has published several books with Springer.Matthias Schmid is a professor of Medical Biometry, Informatics and Epidemiology at the University of Bonn. He received his diploma (2004) and his Ph.D. (2007) in statistics at the University of Munich and his habilitation (2012) in biostatistics at the University of Erlangen. Before working in Bonn, he was professor of computational statistics at the Department of Statistics at the University of Munich (2013-2014).
Read more
Collapse
Loading...

Additional Information

Publisher
Springer
Read more
Collapse
Published on
Jun 14, 2016
Read more
Collapse
Pages
247
Read more
Collapse
ISBN
9783319281582
Read more
Collapse
Read more
Collapse
Read more
Collapse
Language
English
Read more
Collapse
Genres
Computers / Mathematical & Statistical Software
Mathematics / Probability & Statistics / General
Mathematics / Probability & Statistics / Stochastic Processes
Medical / Biostatistics
Social Science / Research
Social Science / Statistics
Read more
Collapse
Content Protection
This content is DRM protected.
Read more
Collapse

Reading information

Smartphones and Tablets

Install the Google Play Books app for Android and iPad/iPhone. It syncs automatically with your account and allows you to read online or offline wherever you are.

Laptops and Computers

You can read books purchased on Google Play using your computer's web browser.

eReaders and other devices

To read on e-ink devices like the Sony eReader or Barnes & Noble Nook, you'll need to download a file and transfer it to your device. Please follow the detailed Help center instructions to transfer the files to supported eReaders.
This book offers a relatively self-contained presentation of the fundamental results in categorical data analysis, which plays a central role among the statistical techniques applied in the social, political and behavioral sciences, as well as in marketing and medical and biological research. The methods applied are mainly aimed at understanding the structure of associations among variables and the effects of other variables on these interactions. A great advantage of studying categorical data analysis is that many concepts in statistics become transparent when discussed in a categorical data context, and, in many places, the book takes this opportunity to comment on general principles and methods in statistics, addressing not only the “how” but also the “why.” Assuming minimal background in calculus, linear algebra, probability theory and statistics, the book is designed to be used in upper-undergraduate and graduate-level courses in the field and in more general statistical methodology courses, as well as a self-study resource for researchers and professionals. The book covers such key issues as: higher order interactions among categorical variables; the use of the delta-method to correctly determine asymptotic standard errors for complex quantities reported in surveys; the fundamentals of the main theories of causal analysis based on observational data; the usefulness of the odds ratio as a measure of association; and a detailed discussion of log-linear models, including graphical models. The book contains over 200 problems, many of which may also be used as starting points for undergraduate research projects. The material can be used by students toward a variety of goals, depending on the degree of theory or application desired.

Seminar paper from the year 2005 in the subject English Language and Literature Studies - Literature, grade: 1,3, Friedrich-Alexander University Erlangen-Nuremberg, 8 entries in the bibliography, language: English, abstract: Goethe’s novel Wilhelm Meisters Lehrjahre, where this quotation is taken from, is unanimously regarded as the prototype of the Bildungsroman by literary scholars. In the following paper I am going to concentrate on the English Bildungsroman exclusively by analysing Charles Dickens’s Great Expectations, a representative novel of the Victorian Bildungsroman. A Bildungsroman in general describes the life of the protagonist “as a process of movement and adjustment from childhood to early maturity” and “as a growing up and gradual self-discovery in the school-without-walls that is experience.” The plot of a typical English Bildungsroman can usually be divided into three stages in the hero’s development: childhood, youth and maturity. During his first stage of development the protagonist, often an orphaned child, grows up contentedly in the country or in a provincial town. The experience of his first schooling, however, makes him unsatisfied with his lot. Driven by deficiencies and lack of options he sets out to seek his fortune in a cosmopolitan city which in almost all cases is London. This applies to the Victorian age in particular, when the British Empire was at the height of its political and colonial power with its centre in London. The journey from rural environment to the city initiates the second stage, where the hero’s real education begins. He often is increasingly alienated from his childhood friends and persons of trust and experiences urban life. There he is involved in exalting and debasing love affairs. An additional typical theme of the Victorian Bildungsroman is the making of a gentleman. Only by reappraising his values can he enter upon his final stage of maturity. He then returns home to his place of origin to demonstrate the degree of his success or failure. There are numerous facets to this general description of the hero’s life. A thorough analysis of Great Expectations will reveal the most important and most striking aspects of the genre. I am not going to make this distinction, because in the context of English literature these categories are far less rigid. Deriving its roots from Germany the Bildungsroman first came into being in England during the Age of Enlightenment. The victorious hero of the English Bildungsroman of the 18th century generally experienced a life “(...) of success, of obstacles overcome, of safety and prosperity reached.”
©2019 GoogleSite Terms of ServicePrivacyDevelopersArtistsAbout Google|Location: United StatesLanguage: English (United States)
By purchasing this item, you are transacting with Google Payments and agreeing to the Google Payments Terms of Service and Privacy Notice.