Statistics in Action with R
Hypothesis testing
documentation
Single comparisons
Multiple comparisons
Shiny apps
Hypothesis testing for the mean
Law of large numbers (LLN)
Central limit theorem (CLT)
exercices
Regression models
documentation
Polynomial regression: an example
Polynomial regression: going into details
Nonlinear regression
Maximum likelihood estimation in a Gaussian regression model
Some residual error models
exercices
Shiny apps
Linear regression
Bayesian fitting of longitudinal data
PK modelling
documentation
Introduction to pharmacokinetics modelling
The ADME process
movie
Introduction to PK modelling
Shiny apps
Build your PK model
Comparing different absorption processes
Combining oral and iv administrations
Mixed effects models
documentation
linear mixed effects models
EM algorithm for linear mixed effects models
nonlinear mixed effects models
movie
Introduction to the population approach
exercices
Shiny apps
Linear mixed effects model (growth curve)
Nonlinear mixed effects model (growth curve)
Nonlinear mixed effects model (PK modelling)
Mixture models
documentation
exercices
Signal & Image
documentation
Detection of changes in a signal
Bayesian restoration of images
exercices
Detection of changes
Restoration of images
Shiny apps
Detection of multiple change points in the mean and/or variance
Ressour