NONMEM VI Examples / Tutorials / Downloads


   Below are several free downloads that reflect some of the more interesting projects that I have worked on over the years. I am totally a Bayesian but economic reality dictates that I sometimes do some frequentist things. The idea here is to share information. Of course I am available for teaching or consultation at very reasonable rates.


   Dynamic Transform Both Sides Here we have a slideshow about estimating optimal data transformations. The student should study the slides, run the examples and then do the homework.

Project 1
Example Model 1
Example Data 1
Example Model 2
Example Model 3
Example contr sub
Example ccontr sub
Homework 1
Homework 1 Data
Homework 1 Model 1

   Dynamic Random Effect Transformations There once was a modeler that said "If its good for the data try it on eta....". In project 1 you learned about estimating optimal data transformations, here we talk about skewness, leptokurtosis, and platykurtosis correction. The student should study the slides, run the examples and then do the homework.

Project 2
Example Model 1
Example Data 1
Example Model 2
Homework 2
Homework 2 Data
Homework 2 Model 1
Homework 2 Model 2

   Unbounded Likelihoods Most modelers get excited when they glance at a NONMEM run and see the objective function dropping like a rock. This can be a sinister thing however. I came across this problem while working with Stu Beal on some Pfizer data. Stu diagnosed the problem and proposed a solution. Beleive it or not I could not recreate this problem and I surely cannot share proprietary data, so I have cooked up something close to the original problem. The student should study the slides, run the examples and then do the homework. Check out the learning module below for what I think is a better way to deal with these data.

Project 3
Example Model 1
Example Model 2
Example Data 1
Homework 3
Homework 3 Model 1

   Sojourn Models Here is the last of the nm6 workshops. Here we deal with zero heavy at the subject level ordinal adverse event (AE) data. The studentshould study the slides, run the examples and then do the homework. I have hope you see the connection between projects 3 and 4 at some point!

Project 4
Example Model 1
Example Model 2
Example Model 3
Example Data 1
Example Data 2
Homework 4