Group Sequential and Promising Zone Designs

Calculate boundaries, evaluate interim data & re-estimate sample size

Group Sequential and Promising Zone Designs

Adaptive in Nature

nQuery allows for modifications to the sample size based on interim results, enhancing flexibility and responsiveness to emerging data

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Efficiency in Sample Size

Power for a smaller sample size based on realistic estimates but keep the flexibility to find lower clinically relevant effect sizes

Save Promising Trials

Save trials with promising interim results but a high probability of failure by increasing sample size using the Promising Zone design

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nQuery’s Group Sequential and Unblinded Sample Size Re-estimation tools can maximize your chances of trial success

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Find Stopping Rules

Find boundaries for early stopping for efficacy and futility

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Evaluate Interim Data

Provide your interim data and find the optimal interim choice

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Increase Sample Size

Save promising trials by increasing sample size based on conditional power

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Compare Sequential Methods

Evaluate error spending, Wang-Tsiatis, Haybittle-Peto and more

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Input Custom Boundaries

Input and convert between Z-value, p-value, Score and effect size boundaries

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Understand Exit Probabilities

Evaluate the probability of early stopping under the null & alternative hypothesis

Designing Robust Group Sequential Trials

In this video, you will learn how you can maximise nQuery's Group Sequential Design features

Frequently Asked Questions

What is Group Sequential and Promising Zone Designs in nQuery?

Group Sequential Design Theory

Recommended Resources

Expert Insights

Expert Insights

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Trial Design Templates

Trial Design Templates

Trial Design Templates

Knowledge Base

Knowledge Base

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