## ----include = FALSE---------------------------------------------------------- knitr::opts_chunk$set( collapse = TRUE, comment = "#>", fig.width = 8, fig.height = 5 ) library(bfbin2arm) ## ----echo = FALSE, out.width = "90%", fig.align = "center", fig.cap = "Figure 1: Illustration of the calibration algorithm for an optimal Bayesian single-arm phase II design with a binary endpoint"---- knitr::include_graphics("figures/optimal_single_arm_two_stage_bayes_flowchart_rootfinding.png") ## ----------------------------------------------------------------------------- des_bayes <- design_singlearm_onestage_bf( n_min = 10, n_max = 200, k = 1/3, p0 = 0.2, a0 = 1, b0 = 1, a1 = 1, b1 = 1, da0 = 1, db0 = 1, da1 = 2.5, db1 = 2, type = "direction", calibration = "Bayesian", target_power = 0.8, target_type1 = 0.05 ) ## ----------------------------------------------------------------------------- summary(des_bayes) ## ----out.width="90%", fig.align="center"-------------------------------------- plot(des_bayes, what = "all") ## ----------------------------------------------------------------------------- des_bayes_ce <- design_singlearm_onestage_bf( n_min = 10, n_max = 200, k = 1/3, p0 = 0.2, a0 = 1, b0 = 1, a1 = 1, b1 = 1, da0 = 1, db0 = 1, da1 = 2.5, db1 = 2, type = "direction", calibration = "Bayesian", target_power = 0.8, target_type1 = 0.05, target_ce_h0 = 0.6, k_ce = 3, dp = 0.4 ) ## ----------------------------------------------------------------------------- summary(des_bayes_ce) ## ----out.width="90%", fig.align="center"-------------------------------------- plot(des_bayes_ce, what = "all") ## ----------------------------------------------------------------------------- des_bayes_ce50 <- design_singlearm_onestage_bf( n_min = 10, n_max = 200, k = 1/3, p0 = 0.2, a0 = 1, b0 = 1, a1 = 1, b1 = 1, da0 = 1, db0 = 1, da1 = 2.5, db1 = 2, type = "direction", calibration = "Bayesian", target_power = 0.8, target_type1 = 0.05, target_ce_h0 = 0.5, k_ce = 3, dp = 0.4 ) ## ----------------------------------------------------------------------------- summary(des_bayes_ce50) ## ----out.width="90%", fig.align="center"-------------------------------------- plot(des_bayes_ce50, what = "all") ## ----------------------------------------------------------------------------- des_full <- design_singlearm_onestage_bf( n_min = 10, n_max = 100, k = 1/3, p0 = 0.2, a0 = 1, b0 = 1, a1 = 1, b1 = 1, dp = 0.4, da0 = 1, db0 = 1, da1 = 2.5, db1 = 2, type = "direction", calibration = "full", target_power = 0.8, target_type1 = 0.05, target_freq_power = 0.8, target_freq_type1 = 0.05 ) summary(des_full) ## ----------------------------------------------------------------------------- head(des_full$search_results) ## ----------------------------------------------------------------------------- range(des_full$search_results$freq_type1) ## ----------------------------------------------------------------------------- des_full_strong_ev <- design_singlearm_onestage_bf( n_min = 10, n_max = 100, k = 1/10, p0 = 0.2, a0 = 1, b0 = 1, a1 = 1, b1 = 1, dp = 0.4, da0 = 1, db0 = 1, da1 = 2.5, db1 = 2, type = "direction", calibration = "full", target_power = 0.8, target_type1 = 0.05, target_freq_power = 0.8, target_freq_type1 = 0.05 ) ## ----------------------------------------------------------------------------- summary(des_full_strong_ev) ## ----out.width="90%", fig.align="center"-------------------------------------- plot(des_full_strong_ev) ## ----------------------------------------------------------------------------- des_freq_strong_ev <- design_singlearm_onestage_bf( n_min = 10, n_max = 100, k = 1/10, p0 = 0.2, a0 = 1, b0 = 1, a1 = 1, b1 = 1, dp = 0.4, da0 = 1, db0 = 1, da1 = 2.5, db1 = 2, type = "direction", calibration = "frequentist", target_power = 0.8, target_type1 = 0.05, target_freq_power = 0.8, target_freq_type1 = 0.05 ) summary(des_freq_strong_ev) ## ----------------------------------------------------------------------------- des_hybrid_strong_ev <- design_singlearm_onestage_bf( n_min = 10, n_max = 100, k = 1/10, p0 = 0.2, a0 = 1, b0 = 1, a1 = 1, b1 = 1, dp = 0.4, da0 = 1, db0 = 1, da1 = 2.5, db1 = 2, type = "direction", calibration = "hybrid", target_power = 0.8, target_type1 = 0.05, target_freq_power = 0.8, target_freq_type1 = 0.05 ) summary(des_hybrid_strong_ev) ## ----out.width="90%", fig.align="center"-------------------------------------- plot(des_hybrid_strong_ev) ## ----------------------------------------------------------------------------- des_hybrid_strong_ev_with_ce <- design_singlearm_onestage_bf( n_min = 10, n_max = 100, k = 1/10, k_ce = 3, p0 = 0.2, a0 = 1, b0 = 1, a1 = 1, b1 = 1, dp = 0.4, da0 = 1, db0 = 1, da1 = 2.5, db1 = 2, type = "direction", calibration = "hybrid", target_power = 0.8, target_type1 = 0.05, target_ce_h0 = 0.6, target_freq_power = 0.8, target_freq_type1 = 0.05 ) summary(des_hybrid_strong_ev_with_ce) ## ----out.width="90%", fig.align="center"-------------------------------------- plot(des_hybrid_strong_ev_with_ce) ## ----------------------------------------------------------------------------- des_hybrid_strong_ev_with_ce50 <- design_singlearm_onestage_bf( n_min = 10, n_max = 100, k = 1/10, k_ce = 3, p0 = 0.2, a0 = 1, b0 = 1, a1 = 1, b1 = 1, dp = 0.4, da0 = 1, db0 = 1, da1 = 2.5, db1 = 2, type = "direction", calibration = "hybrid", target_power = 0.8, target_type1 = 0.05, target_ce_h0 = 0.5, target_freq_power = 0.8, target_freq_type1 = 0.05 ) summary(des_hybrid_strong_ev_with_ce50) ## ----out.width="90%", fig.align="center"-------------------------------------- plot(des_hybrid_strong_ev_with_ce50)