Table 1 Notation of trial framework
From: Practical basket design for binary outcomes with control of family-wise error rate
\(n_j^{*}\): Number of patients for subpopulation j during interim analysis |
\(n_{\{-j\}}^{*}\): Number of patients for subpopulation \(\{-j\}\) during interim analysis for subpopulation j |
\(r_j^{*}\): Number of responses for subpopulation j during interim analysis |
\(r_{\{-j\}}^{*}\): Number of responses for subpopulation \(\{-j\}\) during interim analysis for subpopulation j |
\(n_j\): Number of patients for subpopulation j during final analysis |
\(n_{\{-j\}}\): Number of patients for subpopulation \(\{-j\}\) during final analysis |
\(r_j\): Number of responses for subpopulation j during final analysis |
\(r_{\{-j\}}\): Number of responses for subpopulation \(\{-j\}\) during final analysis |
\(p_j\): True response rate for subpopulation j |
\(p_{\{-j\}}\): True response rate for subpopulation \(\{-j\}\) |
\(p_0\): Response rate to the standard treatment (i.e., null response rate), which was set as a constant among subpopulations |
\(p_1\): Alternative expected response rate which, was set as a constant among subpopulations |