A discrete-time multiple event process survival mixture (MEPSUM) model for investigating the order and timing of multiple non-repeatable events
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- Type
- article
- Published
- 2012-08-01
- Cited by
- 0
- References
- 98
- Access
- Open access
- OpenAlex
- https://openalex.org/W45367815
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:264978062
Keywords
Event (particle physics), Process (computing), Computer science, Statistics, Mathematics
References
- Group-Based Modeling of Development
- Event History Analysis
- Finite Mixture Models
- Digest of Education Statistics
- A Discrete-Time Multilevel Mixture Model for Event History Data with Long-Term Survivors, with an Application to an Analysis of Contraceptive Sterilization in Bangladesh
- Variation in youthful risks of progression from alcohol and tobacco to marijuana and to hard drugs across generations.
- Handbook of the life course
- Applied Longitudinal Data Analysis
- Logistic Regression Using the SAS System : Theory and Application
- A hierarchy of drug use in adolescene: behavioral and attitudinal correlates of substantial drug use.
- Consequences of Fitting Nonidentified Latent Class Models
- Model selection and Akaike's Information Criterion (AIC): The general theory and its analytical extensions
- Latent Class Model Diagnosis from a Frequentist Point of View
- Linear Logistic Latent Class Analysis for Polytomous Data
- Distinguishing Between Latent Classes and Continuous Factors: Resolution by Maximum Likelihood?
- A Semiparametric Approach to Modeling Nonlinear Relations Among Latent Variables
- Efficient estimation and local identification in latent class analysis
- Analysis of Multivariate Survival Data
- Residual Diagnostics for Growth Mixture Models
- Discrete-Time Methods for the Analysis of Event Histories
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