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This then creates an interactive plot where you can get a deeper understanding of the effect of varying the sample size would have.
Powerful Plotting Features - Plot User Selected Rows
With the plot user selected rows feature, you can visually explore the effect of changing any of your assumptions over a range of values and seeing what effect it would have on any of the solvers in the table.
Bayesian Statistics
Sample size using
Bayesian analysis
So whether you're planning to do a simple t-test analysis, you want to undertake a complex simulation of a survival study when planning it, or you wish to take advantage of interim monitoring in a group sequential design.
Whether designing a clinical trial or putting together a study proposal, sample size determination is an integral part of the study planning process. With over 20 years of experience in clinical trial design, when using nQuery you can trust that your sample size determination is being conducted to the highest regulatory standards.
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