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Event history analysis with stata

Author: Blossfeld, Hans-Peter ; Golsch, Katrin ; Rohwer, GötzPublisher: Lawrence Erlbaum Associates, 2007.Language: EnglishDescription: 300 p. : Graphs ; 23 cm.ISBN: 0805860479Type of document: BookNote: Doriot: for 2012-2013 coursesBibliography/Index: Includes bibliographical references and index
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Item type Current location Collection Call number Status Notes Date due Barcode Item holds
Book Asia Campus
Textbook Collection (PhD)
Print H61 .E84 2007
(Browse shelf)
900180931
Available 900180931
Book Europe Campus
Main Collection
Print H61 .E84 2007
(Browse shelf)
001214364
Available For PhD courses 2012/2013 001214364
Book Europe Campus
Main Collection
Print H61 .E84 2007
(Browse shelf)
001292572
Available For PhD courses 2012/2013 001292572
Book Middle East Campus
Main Collection
Print H61 .E84 2007
(Browse shelf)
500006267
Available 500006267
Total holds: 0

Doriot: for 2012-2013 courses

Includes bibliographical references and index

Digitized

Event History Analysis with Stata Contents Preface vii 1 Introduction 1 1.1 Causal Modeling and Observation Plans ........................................ 4 1.1.1 Cross-Sectional Data .......................................................... 5 1.1.2 Panel Data ........................................................................ 13 1.1.3 Event History Data ............................................................ 19 1.2 Event History Analysis and Causal Modeling ................................ 21 2 Event History Data Structures 38 2.1 Basic Terminology ........................................................................... 38 2.2 Event History Data Organization .................................................. 42 3 Nonparametric Descriptive Methods 3.1 Life Table Method ............................................................................. 3.2 Product-Limit Estimation .............................................................. 3.3 Comparing Survivor Functions ..................................................... 58 58 72 76 4 Exponential Transition Rate Models 87 4.1 The Basic Exponential Model ......................................................... 88 4.1.1 Maximum Likelihood Estimation ........................................ 89 4.1.2 Models without Covariates ................................................. 91 4.1.3 Time-Constant Covariates .................................................. 94 4.2 Models with Multiple Destinations .............................................. 101 4.3 Models with Multiple Episodes .................................................... 109 5 Piecewise Constant Exponential Models 5.1 The Basic Model ............................................................................ 5.2 Models without Covariates ........................................................... 5.3 Models with Proportional Covariate Effects ................................. 5.4 Models with Period-Specific Effects .............................................. 6 Exponential Models with Time-Dependent Covariates 6.1 Parallel and Interdependent Processes ...................................... 6.2 Interdependent Processes: The System Approach ...................... 6.3 Interdependent Processes: The Causal Approach ...................... 6.4 Episode Splitting with Qualitative Covariates ............................ 6.5 Episode Splitting with Quantitative Covariates .......................... 6.6 Application Examples .................................................................. 116 116 118 122 123 128 128 131 135 137 147 152 7 Parametric Models of Time-Dependence 7.1 Interpretation of Time-Dependence .............................................. 7.2 Gompertz Models............................................................................ 7.3 Weibull Models ................................................................................ 7.4 Log-Logistic Models .......................................................................... 7.5 Log-Normal Models .......................................................................... 8 Methods to Check Parametric Assumptions 182 183 186 196 204 210 216 8.1 Simple Graphical Methods ........................................................... 216 8.2 Pseudoresiduals .......................................................................... 218 9 Semiparametric Transition Rate Models 9.1 Partial Likelihood Estimation ....................................................... 9.2 Time-Dependent Covariates .......................................................... 9.3 The Proportionality Assumption .................................................. 9.4 Baseline Rates and Survivor Functions ...................................... 9.5 Application Example ...................................................................... 10 Problems of Model Specification 10.1 Unobserved Heterogeneity ........................................................... 10.2 Models with a Mixture Distribution ........................................... 10.2.1 Models with a Gamma Mixture ....................................... 10.2.2 Exponential Models with a Gamma Mixture .................. 10.2.3 Weibull Models with a Gamma Mixture .......................... 10.3 Discussion ................................................................................. References 271 About the Authors Index 295 293 223 224 228 233 238 243 247 247 253 256 259 261 265

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