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Using a PK/PD model for simulation-based assessment of probability of technical success in drug development


#1

https://github.com/isop-phmx/studyGroup/issues/22

General Topic: Using a PK/PD model for simulation-based assessment of probability of technical success in drug development.
YouTube Live Feed Link: https://www.youtube.com/watch?v=F_oM1V4Lp90
Presenter: @kylebmetrum
Date(s): June 24, 2016
Time: Noon EDT
Background Resources for the Audience: https://github.com/metrumresearchgroup/mrgsolve/ http://mrgsolve.github.io/user_guide/


#2

I posted a vignette that outlines the session in the StudyGroup issue tracker:
https://github.com/isop-phmx/studyGroup/issues/22

The direct link is here:
https://github.com/isop-phmx/studyGroup/files/331189/pts.pdf

We have “Probability of technical success” in the title and we’ll get to that. But the focus will be on running some larger scale population simulations with mrgsolve. The workflow we do here will be common to many different M&S applications beyond PTS.

We will:

  • Give brief explanation of PTS
  • Build a simulation data set with covariates from NHANES data
  • Look at the NONMEM model and how to get that translated into mrgsolve specification
  • Get the NONMEM output into a format that mrgsolve can handle
  • Run the simulation in R with a couple of alternatives for parallelizing that process
  • Summarize the simulations a couple of ways to get at PTS
  • Give an example for simulating parameters from the covariance matrix (of the estimate) for those who aren’t using METHOD=BAYES

I’m not sure if this is going to be 40 minutes too short or 40 minutes too long … but we’ll try to make it useful within the hour.


#3

seems like the feed dropped after 4 or 5 minutes…is it just me or others experiencing the same?


#4

also seems to have dropped for me


#5

new link here

Here is the updated link – Kyle had issues with the previous one.


#6

Thanks @kyleb ! Great presentation and supporting documentation!


#7

@kyleb this was great!


#8

Posting some errata here:

Errata on github


#9

Materials are here: https://github.com/mrgsolve/examples Go to the PrTs folder. Use the issue tracker (on github) if something isn’t working for you.

Kyle