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Preface | p. vii |
Introduction | p. 1 |
Causal Modeling and Observation Plans | p. 4 |
Cross-Sectional Data | p. 5 |
Panel Data | p. 13 |
Event History Data | p. 19 |
Event History Analysis and Causal Modeling | p. 21 |
Event History Data Structures | p. 38 |
Basic terminology | p. 38 |
Event History Data Organization | p. 42 |
Nonparametric Descriptive Methods | p. 56 |
Life Table Method | p. 56 |
Product-Limit Estimation | p. 71 |
Comparing Survivor Functions | p. 76 |
Exponential Transition Rate Models | p. 86 |
The Basic Exponential Model | p. 87 |
Maximum Likelihood Estimation | p. 88 |
Models without Covariates | p. 91 |
Time-Constant Covariates | p. 95 |
Models with Multiple Destinations | p. 101 |
Models with Multiple Episodes | p. 111 |
Piecewise Constant Exponential Models | p. 120 |
The Basic Model | p. 120 |
Models without Covariates | p. 122 |
Models with Proportional Covariate Effects | p. 125 |
Models with Period-Specific Effects | p. 125 |
Exponential Models with Time-Dependent Covariates | p. 131 |
Parallel and Interdependent Processes | p. 131 |
Interdependent Processes: The System Approach | p. 134 |
Interdependent Processes: The Causal Approach | p. 138 |
Episode Splitting with Qualitative Covariates | p. 140 |
Episode Splitting with Quantitative Covariates | p. 152 |
Application Examples | p. 157 |
Parametric Models of Time-Dependence | p. 176 |
Interpretation of Time-Dependence | p. 177 |
Gompertz-Makeham Models | p. 180 |
Weibull Models | p. 191 |
Log-Logistic Models | p. 197 |
Log-Normal Models | p. 202 |
Sickle Models | p. 208 |
Methods to Check Parametric Assumptions | p. 213 |
Simple Graphical Methods | p. 213 |
Pseudoresiduals | p. 219 |
Semi-Parametric Transition Rate Models | p. 228 |
Partial Likelihood Estimation | p. 229 |
Time-Dependent Covariates | p. 234 |
The Proportionality Assumption | p. 240 |
Baseline Rates and Survivor Functions | p. 248 |
Application Example | p. 251 |
Problems of Model Specification | p. 255 |
Unobserved Heterogeneity | p. 255 |
Models with a Mixture Distribution | p. 261 |
Models with a Gamma Mixture | p. 264 |
Exponential Models with a Gamma Mixture | p. 267 |
Weibull Models with a Gamma Mixture | p. 269 |
Discussion | p. 274 |
Basic Information About TDA | p. 279 |
References | p. 282 |
About the Authors | p. 304 |
Index | p. 305 |
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