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 'people' events. The author provides clear and concise explanations, without using overtly technical or mathematical language.
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."
Introduction
Discrete-Time Methods
Parametric Methods for Continuous-Time Data
Cox Regression
Multiple Kinds of Events
Repeated Events
Conclusion
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 'people' events. The author provides clear and concise explanations, without using overtly technical or mathematical language.
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."
Introduction
Discrete-Time Methods
Parametric Methods for Continuous-Time Data
Cox Regression
Multiple Kinds of Events
Repeated Events
Conclusion
Introduction
Discrete-Time Methods
Parametric Methods for Continuous-Time Data
Cox Regression
Multiple Kinds of Events
Repeated Events
Conclusion
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.”
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