Construction of input data for log-linear models of event histories
Title | Construction of input data for log-linear models of event histories PDF eBook |
Author | Melinda Mills |
Publisher | |
Pages | 89 |
Release | 1999 |
Genre | Event history analysis |
ISBN |
Log-Linear Models for Event Histories
Title | Log-Linear Models for Event Histories PDF eBook |
Author | Jeroen K. Vermunt |
Publisher | SAGE Publications, Incorporated |
Pages | 368 |
Release | 1997-05-13 |
Genre | Mathematics |
ISBN |
Event history analysis has been a useful method in the social sciences for studying the processes of social change. However, a main difficulty in using this technique is to observe all relevant explanatory variables without missing any variables. This book presents a general approach to missing data problems in event history analysis which is based on the similarities between log-linear models, hazard models and event history models. It begins with a discussion of log-rate models, modified path models and methods for obtaining maximum likelihood estimates of the parameters of log-linear models. The author then shows how to incorporate variables with missing information in log-linear models - including latent class models, m
Event History Analysis
Title | Event History Analysis PDF eBook |
Author | Paul David Allison |
Publisher | SAGE |
Pages | 92 |
Release | 1984-11 |
Genre | Social Science |
ISBN | 9780803920552 |
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.
Log-linear Event History Analysis
Title | Log-linear Event History Analysis PDF eBook |
Author | Jeroen K. Vermunt |
Publisher | |
Pages | 372 |
Release | 1996 |
Genre | Log-linear models |
ISBN |
Log-Linear Modeling
Title | Log-Linear Modeling PDF eBook |
Author | Alexander von Eye |
Publisher | John Wiley & Sons |
Pages | 372 |
Release | 2014-08-21 |
Genre | Mathematics |
ISBN | 1118391764 |
An easily accessible introduction to log-linear modeling for non-statisticians Highlighting advances that have lent to the topic's distinct, coherent methodology over the past decade, Log-Linear Modeling: Concepts, Interpretation, and Application provides an essential, introductory treatment of the subject, featuring many new and advanced log-linear methods, models, and applications. The book begins with basic coverage of categorical data, and goes on to describe the basics of hierarchical log-linear models as well as decomposing effects in cross-classifications and goodness-of-fit tests. Additional topics include: The generalized linear model (GLM) along with popular methods of coding such as effect coding and dummy coding Parameter interpretation and how to ensure that the parameters reflect the hypotheses being studied Symmetry, rater agreement, homogeneity of association, logistic regression, and reduced designs models Throughout the book, real-world data illustrate the application of models and understanding of the related results. In addition, each chapter utilizes R, SYSTAT®, and §¤EM software, providing readers with an understanding of these programs in the context of hierarchical log-linear modeling. Log-Linear Modeling is an excellent book for courses on categorical data analysis at the upper-undergraduate and graduate levels. It also serves as an excellent reference for applied researchers in virtually any area of study, from medicine and statistics to the social sciences, who analyze empirical data in their everyday work.
Event History and Survival Analysis
Title | Event History and Survival Analysis PDF eBook |
Author | Paul D. Allison |
Publisher | SAGE Publications |
Pages | 114 |
Release | 2014-02-19 |
Genre | Social Science |
ISBN | 1483303640 |
Social scientists are interested in events and their causes. Although event histories are ideal for studying the causes of events, they typically possess two features—censoring and time-varying explanatory variables—that create major problems for standard statistical procedures. Several innovative approaches have been developed to accommodate these two peculiarities of event history data. This volume surveys these methods, concentrating on the approaches that are most useful to the social sciences. In particular, Paul D. Allison focuses on regression methods in which the occurrence of events is dependent on one or more explanatory variables. He gives attention to the statistical models that form the basis of event history analysis, and also to practical concerns such as data management, cost, and useful computer software. The Second Edition is part of SAGE’s Quantitative Applications in the Social Sciences (QASS) series, which continues to serve countless students, instructors, and researchers in learning the most cutting-edge quantitative techniques.
Log-Linear Models and Logistic Regression
Title | Log-Linear Models and Logistic Regression PDF eBook |
Author | Ronald Christensen |
Publisher | Springer |
Pages | 484 |
Release | 2013-03-08 |
Genre | Mathematics |
ISBN | 9781475771138 |
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.