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File usage
The following 28 pages uses this file:
- Additional levels of variability
- Continuous data models
- Estimation
- Estimation of the observed Fisher information matrix
- Extension to multivariate distributions
- Extensions
- Gaussian models
- Hidden Markov models
- Introduction & notation
- Introduction and notation
- Introduction to PK modeling using MLXPlore - Part I
- Joint models
- Mixture models
- Model evaluation
- Model for categorical data
- Model with covariates
- Modeling the individual parameters
- Modeling the observations
- Models for count data
- Models for time-to-event data
- Overview
- The Metropolis-Hastings algorithm for simulating the individual parameters
- The SAEM algorithm for estimating population parameters
- The individual approach
- Visualization
- What is a model? A joint probability distribution!
- Template:Back&Next
- Template:Next
