To register and pay for your place on this course please visit: https://store.nottingham.ac.uk/conferences-and-events/conferences/schools-and-departments/medicine/introduction-to-statistics-for-clinical-trial-managers
Please note, it is not possible to raise an invoice for this event, all payments must be received via the payment page above.
The course introduces the different types of data which can be collected in a clinical trial, simple methods of summarising and presenting these, common statistical tests, pointers for calculating the number of participants needed in a clinical trial, and discussions on how results can be interpreted. Mathematical formulae are kept to a minimum.
By the end of the course, delegates will be able to:
• describe the various types of data and how they are summarised using appropriate displays, tabulations and summaries
• interpret confidence intervals and p-values
• recognise and describe some methods of comparing continuous, categorical, and time-to-event outcomes between treatment groups
• identify the information required to perform a basic sample size calculation
• describe and interpret simple analyses
Who the course is intended for?
The course is designed for clinical trial managers who would like an understanding of basic concepts of statistics applied to clinical trials.
All sessions on the course will be led by experienced medical statisticians from Nottingham Clinical Trials Unit.
In the event that you need to cancel your booking we ask that you give us as much notice as possible.
Participants cancelling more than two weeks before the start of the course will be eligible for a full refund, after that time you will be charged the full course fee.
In the unlikely event that the short course has to be cancelled, our liability is limited to course fees only.
We recommend that delegates have adequate insurance cover to reclaim any travel or accommodation expenses. If you need to cancel, please email your request to firstname.lastname@example.org
For further information please contact email@example.com or call us on 0115 8231600.