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Event History Analysis: Regression for Longitudinal Event Data Book

Event History Analysis: Regression for Longitudinal Event Data
Event History Analysis: Regression for Longitudinal Event Data, 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, Event History Analysis: Regression for Longitudinal Event Data has a rating of 3.5 stars
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Event History Analysis: Regression for Longitudinal Event Data, 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, Event History Analysis: Regression for Longitudinal Event Data
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  • Event History Analysis: Regression for Longitudinal Event Data
  • Written by author Paul David Allison
  • Published by SAGE Publications, November 1984
  • 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
  • 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 "people" eve
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Authors

Series Editor's Introduction5
Acknowledgments7
1.Introduction9
Problems in the Analysis of Event Histories10
An Overview of Event History Methods11
2.A Discrete-Time Method14
A Discrete-Time Example15
The Discrete-Time Hazard Rate16
A Logit Regression Model17
Estimating the Model18
Estimates for the Biochemistry Example19
The Likelihood-Ratio Chi-Square Test20
Problems with the Discrete-Time Method21
Discrete Versus Continuous Time22
3.Parametric Methods for Continuous-Time Data22
The Continuous-Time Hazard Rate23
Continuous-Time Regression Models24
Maximum Likelihood Estimation25
An Empirical Example26
Censoring28
Some Other Models29
Choosing a Model30
Unobserved Sources of Heterogeneity32
4.Proportional Hazards and Partial Likelihood33
The Proportional Hazards Model34
Partial Likelihood34
Time-Varying Explanatory Variables36
Adequacy of the Proportional Hazards Model38
Choice of Origin of the Time Scale40
Partial Likelihood for Discrete-Time Data41
5.Multiple Kinds of Events42
A Classification of Multiple Kinds of Events42
Estimation for Multiple Kinds of Events45
Models for Competing Risks46
An Empirical Example of Competing Risks47
Dependence Among Different Kinds of Events50
6.Repeated Events51
A Simple Approach51
Problems with Repeated Events53
Extending the Recidivism Example55
Left Censoring56
7.Change of States57
Transition Rates58
An Analysis of Job Changes59
Simplifying the Model63
8.Conclusion65
Appendix AMaximum Likelihood and Partial Likelihood67
Appendix BProgram Listings for GLIM, SAS, and BMDP Examples72
Appendix CComputer Programs78
Notes81
References83
About the Author87


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Event History Analysis: Regression for Longitudinal Event Data, 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, Event History Analysis: Regression for Longitudinal Event Data

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Event History Analysis: Regression for Longitudinal Event Data, 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, Event History Analysis: Regression for Longitudinal Event Data

Event History Analysis: Regression for Longitudinal Event Data

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Event History Analysis: Regression for Longitudinal Event Data, 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, Event History Analysis: Regression for Longitudinal Event Data

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