In this lecture we will study in detail about dose response relationship, threshold dose, measurement of toxicity, exposure pathways, target organs, and various sources of excretion of toxic with some common causes of poisoning.
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
