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Designing a clinical trial? Why wait until you finish collecting data to analyze the results? Group sequential designs (GSDs) allow you to conduct interim analyses of clinical-trial data while controlling the familywise error rate. If interim results are conclusive, you can stop the trial early for efficacy or futility, saving resources and sparing participants from receiving inferior treatments.
Stata 18 introduced the gs suite of commands to calculate stopping boundaries, compute sample sizes, compare GSDs with equivalently powered fixed studies, and graph the stopping boundaries for your trial. In this webinar, you will learn how to use Stata to select the best GSD for your trial, perform sample size calculations, and analyze trial data. No prior knowledge of clinical trial design is required.
The webinar is free, but you must register to attend. Registrations are limited so register soon.
We will send you an email prior to the start with instructions on how to access the webinar.
Alex Asher is a senior biostatistician and software developer at StataCorp LLC, where he specializes in methods for the design and analysis of clinical trials. He holds a PhD in statistics from Texas A&M University, where he focused on developing methodology for cancer research. Known to invert covariance matrices with his bare hands, Alex is interested in, among other things, biostatistics, semiparametrics, machine learning, statistics education, and Bayesian statistics.
Classroom and web training
Teaching with Stata
Statalist: The Stata Forum
Last updated: 16 November 2022
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