Introducing nQuery Predict

A New Tool for Clinical Trial Milestone Predictions

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Predicting the timing of enrollment and event milestones is a key part of planning a clinical trial and of understanding if your trial is on track.

nQuery Predict is a new tool that helps predict when key trial milestones will occur. 

We show how to make more informed decisions based on real trial data as it becomes available.

About the webinar

Clinical trials rely on key study milestones being reached before interim or final analyses can be conducted.

Enrollment targets are commonly missed in clinical trials. In survival (time-to-event) analysis studies, event targets can be unpredictable and complex to model.

While pre-trial assumptions are used to project when these milestones will occur, it is vital to know if enrollment and survival trends are varying from the pre-trial assumptions. Re-evaluation of the trial’s trajectory and required resources can be made on real-time interim predictions.

nQuery Predict is a new tool that uses simulation to help trialists make better predictions about when key trial milestones will occur. nQuery Predict will provide tools to predict key enrollment and event milestones both before and while a trial is ongoing. 

In this webinar, we introduce clinical trial milestone prediction and the tools available in nQuery Predict for this.

We show how to make more informed decisions based on real trial data as it becomes available.

This webinar will feature:

  • Enrollment and Event Milestone Prediction
  • Using nQuery Predict for Interim Milestone Predictions
  • Using nQuery Predict for Pre-trial Milestone Predictions

Duration - 60 minutes

Speaker: Ronan Fitzpatrick, Head of Statistics, Statsols

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About Our Host

Ronan Fitzpatrick

Ronan Fitzpatrick - nQuery Head of Statistics - Circle Image


Ronan Fitzpatrick is Head of Statistics at Statsols and the Lead Researcher for nQuery clinical trial design software. He has been a guest lecturer for many institutions including the FDA.

Reducing the risk & cost of clinical trials, for innovative organizations such as:
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