Event History and Survival Analysis: Regression for Longitudinal Event Data

Allison, Paul D.

ISBN 10: 1412997704 / ISBN 13: 9781412997706

Edité par Sage Pubns, 2014

A propos de cet article

2nd edition. 140 pages. 8.50x5.50x0.50 inches. In Stock.

N° de réf. du vendeur __1412997704

Détails bibliographiques

• Titre: Event History and Survival Analysis: Regression for Longitudinal Event Data
• Éditeur: Sage Pubns
• Date de parution: 2014
• Langue: anglais
• ISBN à 10 chiffres: 1412997704
• ISBN à 13 chiffres: 9781412997706
• Reliure: Paperback
• Édition: 2ème Édition
• État de l'article: Brand New
• Poids: 0,14 kilogramme

A propos de ce titre

Synopsis

Drawing on recent "event history" analytical methods from biostatistics, engineering and sociology, this book explains how longitudinal data can be used to study the causes of deaths, crimes, wars, and many other human-related events.

À propos de l?auteur

Paul D. Allison, Ph.D., is Professor of Sociology at the University of Pennsylvania where he teaches graduate courses in methods and statistics. He is also the founder and president of Statistical Horizons LLC which offers short courses on a wide variety of statistical topics.

After completing his doctorate in sociology at the University of Wisconsin, he did postdoctoral study in statistics at the University of Chicago and the University of Pennsylvania. He has published eight books and more than 60 articles on topics that include linear regression, log-linear analysis, logistic regression, structural equation models, inequality measures, missing data, and survival analysis.

Much of his early research focused on career patterns of academic scientists. At present, his principal research is on methods for analyzing longitudinal data, especially those for determining the causes and consequences of events, and on methods for handling missing data.

A former Guggenheim Fellow, Allison received the 2001 Lazarsfeld Award for distinguished contributions to sociological methodology. In 2010 he was named a Fellow of the American Statistical Association. He is also a two-time winner of the American Statistical Association's award for "Excellence in Continuing Education."