Short course: Online Introduction to Statistics in Clinical Trials
27th September - 8th October 2021
This is an online course comprising pre-recorded lectures and live, interactive tutorial sessions. The pre-recorded lectures will be available from 13th September 2021 until 5th November 2021 to allow you to pace yourself. There will be seven live, interactive sessions with experienced tutors between 27th September to 8th October 2021, each lasting approximately 1.5 hours.
This course introduces the basic statistical concepts and methods commonly used in medical research. It offers a comprehensive introduction to data types, methods of summarising and presenting data, and the choice and interpretation of comparisons between groups using statistical tests, p-values and confidence intervals. Mathematical formulae are kept to a minimum. The course integrates theory with practical examples and activities to ensure understanding of key principles.
Booking page now open
By the end of the course, delegates will be able to:
- discuss the role of statistical methods in randomised trials
- describe the various types of data and how they are summarised using appropriate displays, tabulations and summaries
- explain sampling variation and the role of statistical methods in quantifying variation, setting confidence limits, and testing hypotheses
- select and use appropriate statistical methods in the analysis of simple datasets
- interpret output from statistical analyses
- identify the information required to perform a basic sample size calculation and be able to perform simple sample size calculations
- explain the concepts of correlation, linear regression and logistic regression
- recognise different types of outcomes and be able to select and perform appropriate statistical analysis for the type of outcome and study design
Is this course for you?
The course is designed for anyone who requires an understanding of basic concepts of statistical analyses. The training is intended to introduce non-statisticians working in clinical research to statistical methods for the design and analysis of clinical trials and to help them interpret published research and undertake their own research studies.
The following topics are covered over the duration of the course:
- Introduction to quantitative research and types of data
- Summarising and displaying data
- Sampling and standard errors
- Hypothesis testing and p-values
- Confidence intervals
- Comparing two means
- Comparing two proportions
- Introduction to correlation, linear regression and logistic regression
- Sample size estimation
- Application of statistical methods for analyses of clinical trials and interpretation of results
The majority of examples used in the course are based on randomised controlled trials, but the concepts can be readily applied to other study designs.
The course will comprise of pre-recorded lectures, other materials and live sessions with course tutors.
All sessions on the course will be led by experienced medical statisticians from Nottingham Clinical Trials Unit.
Early Bird rate :
Bookings made on or before 12th September 2021 £300
Standard rate :
Bookings made after 12th September 2021 £375
What does the course include?
All course materials, including pre-recorded lectures, electronic PDF copies of presentations and practical exercise packs with solutions will be provided by Microsoft Teams. Delegates will be provided with guidance and full joining instructions on how to access the online material and six live tutorials with experienced tutors.
Terms and conditions
In the event that you need to cancel your booking we ask that you give 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. If you need to cancel, please email your request to firstname.lastname@example.org
For further information please contact email@example.com or 0115 8231600