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Author: Melinda Mills
Publisher:
ISBN:
Category : Event history analysis
Languages : en
Pages : 89
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Book Description
Author: Melinda Mills
Publisher:
ISBN:
Category : Event history analysis
Languages : en
Pages : 89
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Book Description
Author: Paul David Allison
Publisher: SAGE
ISBN: 9780803920552
Category : Social Science
Languages : en
Pages : 92
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Book Description
Drawing on recent "event history" analytical methods from biostatistics, engineering, and sociology, this clear and comprehensive monograph explains how longitudinal data can be used to study the causes of deaths, crimes, wars, and many other human events. Allison shows why ordinary multiple regression is not suited to analyze event history data, and demonstrates how innovative regression - like methods can overcome this problem. He then discusses the particular new methods that social scientists should find useful.
Author: Jeroen K. Vermunt
Publisher:
ISBN:
Category : Log-linear models
Languages : en
Pages : 372
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Book Description
Author: Melinda Mills
Publisher: SAGE
ISBN: 1848601026
Category : Social Science
Languages : en
Pages : 301
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Book Description
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: Daniela Grunow
Publisher: Verlag Barbara Budrich
ISBN: 3847414623
Category : Social Science
Languages : en
Pages : 250
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Book Description
Little comparative knowledge exists on how the radical transformations that constitute the late 20th century’s ‘era of globalization’ have affected gender relations and their particular structural manifestation on the labour market, thereby neglecting a core element of the changes and problems currently underway. This book analyses how converging tendencies in the life courses and employment careers of men and women interfere with developments of increasing diversity and instability, both within and between sexes, as economies move from ‘industrial’ to ‘global’. Using the shifting welfare regimes of West Germany and Denmark as illustrative evidence of how national context ‘genders’ the risks and chances associated with globalisation and increasing employment flexibility, this study provides a timely, comprehensive longitudinal analysis of the gendered career consequences of recent political and economic change.
Author: Hideko Matsuo
Publisher:
ISBN:
Category : Fertility, Human
Languages : en
Pages : 138
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Book Description
Author: Jeroen K. Vermunt
Publisher: SAGE Publications, Incorporated
ISBN:
Category : Mathematics
Languages : en
Pages : 368
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Book Description
Event history analysisùa method for explaining why some people are more likely to experience a particular event, transition, or change than other peopleùhas been useful in the social sciences for studying the processes of social change. One of the main difficulties, however, in using this technique is that often information is (partially) missing on some of the relevant variables. Author Jeroen K. Vermunt presents a general approach to these missing data problems in event history analysis that is based on the similarities between log-linear, hazard, and event history models. The book begins with a discussion of log-linear, log-rate, and modified path models and methods for obtaining maximum likelihood estimates of the parameters of these models. Vermunt then shows how to incorporate variables with missing information in log-linear models for non-response. In addition, he covers such topics as the main types of hazard models; censoring; the use of time-varying covariates; models for competing risks; multivariate hazard models; and a general approach for dealing with missing data problems, including unobserved heterogeneity, measurement error in the dependent variable, measurement error in the covariate, partially missing information on the dependent variable, and partially observed covariate values.
Author: Hans-Peter Blossfeld
Publisher: Psychology Press
ISBN: 1317785711
Category : Psychology
Languages : en
Pages : 274
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Book Description
Serving as both a student textbook and a professional reference/handbook, this volume explores the statistical methods of examining time intervals between successive state transitions or events. Examples include: survival rates of patients in medical studies, unemployment periods in economic studies, or the period of time it takes a criminal to break the law after his release in a criminological study. The authors illustrate the entire research path required in the application of event-history analysis, from the initial problems of recording event-oriented data to the specific questions of data organization, to the concrete application of available program packages and the interpretation of the obtained results. Event History Analysis: * makes didactically accessible the inclusion of covariates in semi-parametric and parametric regression models based upon concrete examples * presents the unabbreviated close relationship underlying statistical theory * details parameter-free methods of analysis of event-history data and the possibilities of their graphical presentation * discusses specific problems of multi-state and multi-episode models * introduces time-varying covariates and the question of unobserved population heterogeneity * demonstrates, through examples, how to implement hypotheses tests and how to choose the right model.
Author: Ronald Christensen
Publisher: Springer Science & Business Media
ISBN: 0387226249
Category : Mathematics
Languages : en
Pages : 498
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Book Description
The primary focus here is on log-linear models for contingency tables, but in this second edition, greater emphasis has been placed on logistic regression. The book explores topics such as logistic discrimination and generalised linear models, and builds upon the relationships between these basic models for continuous data and the analogous log-linear and logistic regression models for discrete data. It also carefully examines the differences in model interpretations and evaluations that occur due to the discrete nature of the data. Sample commands are given for analyses in SAS, BMFP, and GLIM, while numerous data sets from fields as diverse as engineering, education, sociology, and medicine are used to illustrate procedures and provide exercises. Throughoutthe book, the treatment is designed for students with prior knowledge of analysis of variance and regression.
Author:
Publisher:
ISBN:
Category : Social sciences
Languages : en
Pages : 440
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Book Description
