On the use of between-within models to adjust for confounding due to unmeasured cluster-level covariates.
Babette A. BrumbackLi LiZhuangyu CaiPublished in: Commun. Stat. Simul. Comput. (2017)
Keyphrases
- probabilistic model
- neural network
- information systems
- prior knowledge
- classification models
- statistical models
- regression model
- explanatory variables
- data sets
- abstraction levels
- levels of abstraction
- statistical methods
- experimental data
- graphical models
- semi supervised
- data points
- clustering algorithm
- artificial intelligence
- information retrieval