 StatTools : Sample Size for Phase II Study (Simon's Procedure)
Program, Explained and Tables
 Related Links: Introduction Sample Size Tables Javascript Program References Introduction Technical Considerations Example This page provides explanations, sample size tables, and calculations for Phase II trials, where the sample size needed is determined by Simon's procedure. Only Simon's two stage procedure will be discussed in this page. Readers are referred to the Phase II Studies Explained Page for Phase II studies generally and for comparison with other procedures available. Simon's is a two stage procedure. The first stage requires a small sample size (n1), and sets a bench mark number of successes (r1) above which the trial enters the second stage. If that bench mark (r1) is not surpassed at the end of stage 1 (n1), then the trial ends with the treatment considered inadequate and abandoned (rejection). In the second stage, the total sample size, including those already collected in stage 1, is defined (nTot), and a second and final bench mark for the total number of successes, including those already collected in stage 1, is defined (rTot). once the number of successes surpassed rTot, the trial can terminate and the treatment considered worthy of further evaluation at the Phase III or control trial level (acceptance). If rTot is not surpassed after nTot cases, then the trial terminates, and the treatment considered inadequate and abandoned (rejection). Simon's procedure therefore has advantages over Fleming's Procedures as in the Sample Size for Phase II Study (Fleming's Procedure) Explained and Tables Page and Gehan's Procedure as in the Sample Size for Phase II Study (Gehan's Procedure) Explained and Tables Page , in that the sample size is not fixed, and the trial can terminate early if the results are obvious. It is particularly effective in rejecting new treatments with below expectation proportion of successes. Parameters : The following parameters are required Probability of Type I Error (α), in most cases 0.05 is used Power (1-β) where β is the Probability of type II Error, in most cases 0.8 or 0.9 are used The base line proportion of success (p0) The proportion of success we required to accept the new treatment (p1) Results : The programs produces the following results The maximum sample size for stage 1 (n1) The number of success required in stage 1, above which stage 2 is entered, and at or below which after n1 cases results in terminating the trial with rejection of the treatment The total maximum sample size (nTot), inclusive of both stages The total number of success required (rTot), inclusive of both stages, above which resulting in terminating the trial with acceptance of the treatment for further trials, and below which after nTot cases results in rejection of the treatment The average expected number of cases (EN) for a decision The probability of early termination of the study (PET) if the true success rate is below requirements Models : Simon's Procedure produces two alternative results, based on different statistical assumptions. The minimax model requires a smaller overall sample size (EN), so is preferred if the researcher is optimistic about the treatment being tested, hoping to require a smaller overall sample size to validate its acceptance for further trials The Optimal model has a smaller sample size for stage 1 and more likely to terminate early (PET) if the true success rate is below requirement, so is preferred for early screening of new treatments to exclude those without potentials from expensive further study. 