Using Interim Data to Improve Expected Study Length

Predicting the length of time needed to reach key enrollment and event milestones is a vital part of planning a clinical trial.
In this free webinar, you will learn how to overcome the challenges associated with:
Clinical Trial Milestone Prediction
How to make Milestone Predictions Pre-trial
Updating Milestone Predictions using Interim Data
Example of Milestone Prediction using Interim Data
More About The Webinar
Clinical trials rely on key study milestones, such as sample size or a target number of events being reached, before an analysis can be conducted. However, these targets are often reached later than expected from the pre-trial planning.
An updated understanding of the trial’s trajectory can be made based on real-time interim predictions. Using updated predictions based on interim data, the appropriate actions required can be evaluated to keep a trial on track.
In this webinar, we provide an introduction to clinical trial milestone prediction and the options available to make these predictions before and during a clinical trial.
Duration - 60 minutes
Speaker: Ronan Fitzpatrick, Head of Statistics, nQuery
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For a free 14 day trial of nQuery:
www.statsols.c...
For more examples:
www.statsols.c...
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