Short course: Introduction to Statistics
This three-day course introduces the basic statistical concepts and methods commonly used in medical research. The course offers a comprehensive introduction to data types, methods of summarising and presenting data, and 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.
All practical work during the course will be paper based, and there is no requirement to use any statistical software. However, some examples will be demonstrated using Stata and there will be an optional computer practical session using Stata to implement the principles learnt each day. All delegates wishing to join the optional computer practical must bring a lap-top with Stata installed. We can provide temporary licenses for those who do not have Stata.
This course will run again in 2019.
By the end of the course, delegates will be able to:
- understand the role of statistical methods in randomised trials
- present quantitative data using appropriate displays, tabulations and summaries
- understand 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
- understand and interpret output from statistical analyses
- understand the statistical concepts that underpin sample size calculations and be able to perform simple sample size calculations
During the 3 days of the course, the following topics are covered:
- 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
- Correlation and linear regression
- Sample size estimation
The majority of examples used in this course are based on randomised controlled trials, but the concepts can be readily applied to other study designs.
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 help non-statisticians to interpret published research and undertake their own research studies.
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. We recommend that delegates have adequate cover to reclaim any travel or accommodation expenses.
If you need to cancel or for further information, please contact email@example.com or 0115 8231600.