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The Resource Event history analysis : regression for longitudinal event data, Paul D. Allison

Event history analysis : regression for longitudinal event data, Paul D. Allison

Label
Event history analysis : regression for longitudinal event data
Title
Event history analysis
Title remainder
regression for longitudinal event data
Statement of responsibility
Paul D. Allison
Creator
Subject
Genre
Language
eng
Member of
Cataloging source
DLC
http://library.link/vocab/creatorName
Allison, Paul David
Dewey number
901/.8
Index
no index present
LC call number
H61
LC item number
.A57 1984
Literary form
non fiction
Nature of contents
bibliography
Series statement
Sage university papers. Quantitative applications in the social sciences
Series volume
no. 07-046
http://library.link/vocab/subjectName
  • Event history analysis
  • History
  • Social Sciences
  • Statistics as Topic
  • Life Change Events
Label
Event history analysis : regression for longitudinal event data, Paul D. Allison
Instantiates
Publication
Bibliography note
Bibliography: pages 83-85
Carrier category
volume
Carrier category code
  • nc
Carrier MARC source
rdacarrier
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
1. Introduction -- Problems in the analysis of event histories -- An overview of event history methods -- 2. A discrete-time method -- A discrete-time example -- The discrete-time hazard rate -- A logit regression model -- Estimating the model -- Estimates for the biochemistry example -- The likelihood-ratio chi-square test -- Problems with the discrete-time method -- Discrete versus continuous time -- 3. Parametric methods for continuous-time data -- The continuous-time hazard rate -- Continuous-time regression models -- Maximum likelihood estimation -- An empirical example -- Censoring -- Some other models -- Choosing a model -- Unobserved sources of heterogeneity -- 4. Proportional hazards and partial likelihood -- The proportional hazards model -- Partial likelihood -- Time-varying explanatory variables -- Adequacy of the proportional hazards model -- Choice of origin of the time scale -- Partial likelihood for discrete-time data -- 5. Multiple kinds of events -- A classification of multiple kinds of events -- Estimation for multiple kinds of events -- Models for competing risks -- An empirical example of competing risks -- Dependence among different kinds of events -- 6. Repeated events -- A simple approach -- Problems with repeated events -- Extending the recidivism example -- Left censoring -- 7. Change of states -- Transition rates -- An analysis of job changes -- Simplifying the model -- 8. Conclusion
Control code
11615820
Dimensions
22 cm
Extent
87 pages
Isbn
9780803920552
Isbn Type
(pbk.)
Lccn
84051704
Media category
unmediated
Media MARC source
rdamedia
Media type code
  • n
Label
Event history analysis : regression for longitudinal event data, Paul D. Allison
Publication
Bibliography note
Bibliography: pages 83-85
Carrier category
volume
Carrier category code
  • nc
Carrier MARC source
rdacarrier
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
1. Introduction -- Problems in the analysis of event histories -- An overview of event history methods -- 2. A discrete-time method -- A discrete-time example -- The discrete-time hazard rate -- A logit regression model -- Estimating the model -- Estimates for the biochemistry example -- The likelihood-ratio chi-square test -- Problems with the discrete-time method -- Discrete versus continuous time -- 3. Parametric methods for continuous-time data -- The continuous-time hazard rate -- Continuous-time regression models -- Maximum likelihood estimation -- An empirical example -- Censoring -- Some other models -- Choosing a model -- Unobserved sources of heterogeneity -- 4. Proportional hazards and partial likelihood -- The proportional hazards model -- Partial likelihood -- Time-varying explanatory variables -- Adequacy of the proportional hazards model -- Choice of origin of the time scale -- Partial likelihood for discrete-time data -- 5. Multiple kinds of events -- A classification of multiple kinds of events -- Estimation for multiple kinds of events -- Models for competing risks -- An empirical example of competing risks -- Dependence among different kinds of events -- 6. Repeated events -- A simple approach -- Problems with repeated events -- Extending the recidivism example -- Left censoring -- 7. Change of states -- Transition rates -- An analysis of job changes -- Simplifying the model -- 8. Conclusion
Control code
11615820
Dimensions
22 cm
Extent
87 pages
Isbn
9780803920552
Isbn Type
(pbk.)
Lccn
84051704
Media category
unmediated
Media MARC source
rdamedia
Media type code
  • n

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