Component Type: Tutorial
CE: ACPE 2.75 Application UAN: 0286-0000-22-502-L04-P ; CME 2.75; IACET 2.75; RN 2.75
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Statistical methods are a powerful tool used in clinical trials to assess whether the data support evidence of a treatment effect. It is therefore key that the results of any statistical analysis are interpreted correctly. However, understanding and interpreting statistical results can be challenging for non-statisticians. In this workshop, participants will be introduced to common statistical methods applied to specific outcomes and their results. Some examples of potential statistical concepts to be covered can include commonly seen hypothesis test, survival analyses, regression modelling, MMRM, and adjusting for multiplicity. Important concepts such as p-values will be explained fully. Idealized examples as well as examples from publicly posted FDA reviews and results on clinicaltrials.gov will be used.
Group discussions using example outputs (including examples from FDA reviews) will give participants the opportunity to apply their learning by critically evaluating statistical analysis approaches and interpreting statistical results, thus giving participants the tools necessary to effectively communicate with their colleagues involved in drug development.
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1.888.257.6457 Registration info: Rate: $350
Need approval in order to attend? Download and fill out our Justification Letter to demonstrate to your supervisor why this is a must-attend event.
Enhance your experience and register for two or more short courses at the same time and receive $50 in savings. Purchase must happen at same time. Discount will be reflected on the last page of the cart.Upon completion of registration, participants will gain access to the following:
- Live Event Access
- Presentation Slides
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DIA 2022Who should attend?This course would be of interest to those working in clinical trials with a non-statistical background who would like to gain a high-level understanding of statistical analyses and interpretation so they can communicate with their statistical colleagues more effectively.
Learning ObjectivesAt the conclusion of this short course, participants should be able to:
- Discuss why certain statistical analyses are applied to specific outcomes
- Assess statistical summaries and extract the important information
- Evaluate the statistical results using easily understandable language
