Home Learn statistics Research Publications Presentations Lecture notes Softwares About us

This page computes Testing Confidence Value (TCV) and provides suggested "Go/No Go" deicsion based on a new decision rule using both the p-value and TCV.

Please refer to the paper “Improve transitional decisions for single-arm phase II oncology trials: a new statistical decison rule” for the concept and computation formula of TCV and the associated decision rule.

Setting Confidence Levels

Confidence Level:

% Area in Lower Tail:

Computing TCV

The TCV is a statistical parameter that evaluates the confidence on the hypothesis testing result. It takes into consideration the uncertainty associated with the specified null hypothesis (π_{0}).

Please refer to the paper “Improve transitional decisions for single-arm phase II oncology trials: a new statistical decison rule” for the definition and computation formula of TCV. The confidence interval around proportion is computed using exact method.

Enter the following values, then click the Compute TCV button:

n_{E }:

y_{E} :

Sample size of hypothetical data representing investigators belief on the standard treatment. Must be greater than 1. To compute n_{0} using confidence interval approach, please enter π_{0} , lq, and uq. Then, click Calculate below:

π_{0 }:

n_{0} :

Actual n_{0 } : used in computation

Estimated π_{E} :

lower confidence limit for estimated π_{E} :

TCV :

TCV based decision rule

The TCV is a positive value bounded by 1. It reflects the confidence on the hypothesis testing result (reject or do not reject the null hypothesis).

The new decision rule based on both p-value and TCV we proposed is as follows:

Please specify L for your trial, then click the TCV Decision button:

L:

Result :

Reference: John C. Pezzullo, "Exact Binomial and Poisson Confidence Intervals." http://statpages.org/confint.html