Welcome
1
Dataset Creation
1.1
Generate data for mrgsolve
1.2
Model Details
1.3
Distribution of peak and trough values
1.4
Predicted Profiles
1.5
Real world sampling and LLOQ
1.6
IPRED and DV vs TIME for all individuals at sampled times
1.7
Prepare for nonmem
2
FOCE Analysis
2.0.1
Output previews
2.0.2
Visual summaries
3
Bayesian analysis
3.1
Priors
4
Bayesian Problems (and solutions)
4.1
Chains
5
Dataset Creation
5.1
Generate data for mrgsolve
5.2
Model Details
5.3
Distribution of peak and trough values
5.4
Predicted Profiles
5.5
Real world sampling and LLOQ
5.6
IPRED and DV vs TIME for all individuals at sampled times
5.7
Prepare for nonmem
5.8
Create chains
5.9
output data
Simplest Bayesian Example
Simplest Bayesian Example
Devin Pastoor
Welcome
An extremely simple example of modeling and postprocessing a bayesian dataset with nonmem