Comparison with finding an optimal 
tumor
TUMOR
We proceed to apply EWOC [Continuous responses used for 3PND design (
Results of dose-finding using EWOC: accelerated design in (To implement EWOC, we use a built-in R function ewoc_d1classical(.) within an R package library(ewoc), with the following set-up: target rate of patients with undetectable tumor AGT activity to be theta = 0.4, the minimum dose to be min_dose = 20, the maximum dose to be max_dose = 140 , the initial dose to be first_dose = 40, and feasibility bound for accelerated design to be alpha = 0.1 and feasibility bound for standard design to be alpha = 0.05, with the specification of uniform prior distributions for the parameters involved in EWOC (See help(ewoc_d1classical) for details about the variable set-up). To simulate a hypothetical dataset with number of patients 30 with cohort size of 3 (Results of dose-finding using EWOCNote: The target AGT activity is 5 fmol/mg protein. Binary responses are obtained by 1 if AGT activity < 5, and 0 otherwiseFigure Overall, we observe that EWOC produces an optimal dose matching that of 3PND. However, the results show that EWOC required a larger number of patients with undetectable tumor AGT activity compared to 3PND. Our results imply that EWOC using binary responses might necessitate a larger patient sample than 3PND using continuous response to effectively learn the dose-response curve.