Dear Professor, I am trying to implement the work done by Suyu Liu, “A Bayesian Phase I/II Trial Design for Immunotherapy”, using R, since the code attached with that work takes a lot of time (more than 20 hours and the code not complete, I do not know how it produced the tables and the figures). So that I tried to use trialr package trying to get similar or approximate results using the utility functions for sensitivity analysis in table 1 (picture below), but this package allowed me to use just two outcomes ( toxicity, efficacy ) and the work of Liu used three outcomes (immune response, toxicity, and efficacy). I want to see if I used the correct utility (table 1 below) and to see how to add a third outcome ( immune response ) to the model? (Question 1) I attached to you the code and the output for 50 iterations and 60 patients from the work of Liu and Yuan ( I cannot do more, it took around 12 hours), if you know how he produced the results, (Question 2) I hope you can feed me back. My goal is: to use their idea to select the best dose in the first stage and to continue in a second stage with only 2 arms clinical trial and the best dose. (may there is another way to do that?) Table 1 ### My code trying to get similar results using trialr package ### rm(list = ls()) library(trialr) ## Utility from table 1 and Liu and Yuan work. Uti
Great presentation Dr.Logan.
Thanks Dr. Logan for this informative overview.
Dear Professor,
I am trying to implement the work done by Suyu Liu, “A Bayesian Phase I/II Trial Design for Immunotherapy”, using R, since the code attached with that work takes a lot of time (more than 20 hours and the code not complete, I do not know how it produced the tables and the figures).
So that I tried to use trialr package trying to get similar or approximate results using the utility functions for sensitivity analysis in table 1 (picture below), but this package allowed me to use just two outcomes ( toxicity, efficacy ) and the work of Liu used three outcomes (immune response, toxicity, and efficacy). I want to see if I used the correct utility (table 1 below) and to see how to add a third outcome ( immune response ) to the model? (Question 1)
I attached to you the code and the output for 50 iterations and 60 patients from the work of Liu and Yuan ( I cannot do more, it took around 12 hours), if you know how he produced the results, (Question 2) I hope you can feed me back.
My goal is: to use their idea to select the best dose in the first stage and to continue in a second stage with only 2 arms clinical trial and the best dose. (may there is another way to do that?)
Table 1
### My code trying to get similar results using trialr package ###
rm(list = ls())
library(trialr)
## Utility from table 1 and Liu and Yuan work.
Uti
Are these slides available for download?
Spying 🕵️♀️