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Journal ArticleDOI

One- and two-stage designs for stratified phase II clinical trials.

TLDR
Both one- and two-stage tests are developed, and conditional and unconditional approaches are introduced in each case, where the conditional approach involves conditioning on the observed samples sizes within the strata.
Abstract
A global one-sample test for response rates for stratified phase II clinical trials is proposed. Such a test is analogous to that of a stratified log-rank test for time-to-event data. Both one- and two-stage tests are developed, and conditional and unconditional approaches are introduced in each case, where the conditional approach involves conditioning on the observed samples sizes within the strata. The methodology generates samples sizes and stopping boundaries that provide designs with the desired power and type I error probability. These methods are useful for designing stratified phase II clinical trials. An application to a Children's Oncology Group phase II clinical trial in relapsed neuroblastoma patients is presented.

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Citations
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Journal ArticleDOI

Proper inference from Simon's two-stage designs.

TL;DR: A method is presented for inferences using both the planned and the actual sample sizes of Simon's two-stage designs, which usually yield similar P-values and confidence intervals for the response rate.
Journal ArticleDOI

Comparison of Error Rates in Single-Arm Versus Randomized Phase II Cancer Clinical Trials

TL;DR: Variability in historical control success rates, outcome drifts in patient populations over time, and/or patient selection effects can result in inaccurate false-positive and false-negative error rates in single-arm designs, but leave performance of the randomized two-arm design largely unaffected at the cost of 2 to 4 times the sample size compared with single- arm designs.
References
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Journal ArticleDOI

Optimal two-stage designs for phase II clinical trials.

TL;DR: Two-stage designs that are optimal in the sense that the expected sample size is minimized if the regimen has low activity subject to constraints upon the size of the type 1 and type 2 errors are presented.
Journal ArticleDOI

One-Sample Multiple Testing Procedure for Phase II Clinical Trials

Thomas R. Fleming
- 01 Mar 1982 - 
TL;DR: A one-sample multiple testing procedure is proposed which employs the standard single-stage test procedure at the last test, and which both allows for early termination and essentially preserves the size, power and simplicity of the single- stage procedure.
Journal ArticleDOI

Designs for group sequential tests

TL;DR: An alternative procedure is proposed that offers a good opportunity for early termination when initial results are extreme, while essentially maintaining the power provided by the procedure that applies when the corresponding test statistic is computed only at the predetermined time of final analysis.
Journal ArticleDOI

Designs for group sequential phase II clinical trials.

TL;DR: A method to search over a restricted set of designs and to select the optimal one in this set according to optimality criteria is proposed and in all the combinations investigated the optimal design produced by the method is the true global optimum.
Journal ArticleDOI

Group sequential designs using both type I and type II error probability spending functions

TL;DR: In this article, the authors proposed flexible group sequential designs using type I and type II error probability spending functions, which preserve the overall significance level and power and allow the repeated testing to be perloimed at a flexible schedule.
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How many people selected Phase 2 clinical trials?

These methods are useful for designing stratified phase II clinical trials.