nQuery’s Group Sequential and Unblinded Sample Size Re-estimation tools can maximize your chances of trial success
Find Stopping Rules
Find boundaries for early stopping for efficacy and futility
Evaluate Interim Data
Provide your interim data and find the optimal interim choice
Increase Sample Size
Save promising trials by increasing sample size based on conditional power
Compare Sequential Methods
Evaluate error spending, Wang-Tsiatis, Haybittle-Peto and more
Input Custom Boundaries
Input and convert between Z-value, p-value, Score and effect size boundaries
Understand Exit Probabilities
Evaluate the probability of early stopping under the null & alternative hypothesis
Designing Robust Group Sequential Trials
Learn how you can maximise nQuery's Group Sequential Design features
Frequently Asked Questions
What is Group Sequential and Promising Zone Designs in nQuery?
The best design depends on the specific research question and priorities. Group Sequential is ideal when early stopping for efficacy or futility is the main goal. Promising Zone is a good option if adjusting sample size based on interim results is preferred.
Group Sequential Design Theory
Group sequential design is a type of clinical trial design that allows researchers to examine the data throughout the study, with the option to stop early under certain circumstances.
