Practical session at a 'Lung Function Testing in the Workplace - Introductory Level' course

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Introductory Medical Statistics (virtual)

Category: statistical

14 May, 2021

Generic photo of laptop, to illustrate this course ('Introductory Medical Statistics' - probably May 2021 - date tbc)

Registration is now closed.  Further applicants will be added to a waiting list - please contact Magda Wheatley for details.  

Maximum of 40 delegates. 

To be held on Microsoft Teams.  Please note that the course will not be recorded.  

Accreditation by the Royal College of Physicians is currently being sought.  

Programme and registration fees

The provisional programme can be accessed here.  

Registration fees:

  • MSc/PhD students:  £110 
  • Academic/NHS:  £175
  • Corporate/other:  £225


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For reference - details relating to our 17 November 2020 course, held 'virtually' on Microsoft Teams -

* see an image of a session in action here (courtesy of James Potts) *

Designed to introduce anyone who uses statistics in their work or research to the following:

- Basic epidemiological concepts (hierarchy of evidence and differences in study designs; confounding in observational studies vs. RCTs
- Descriptive statistics for quantitative, ordinal and qualitative data (mean, median and mode; standard deviation, percentiles and frequency distribution)
- Inferential statistics: estimating parameters in the population (confidence intervals)
- Testing a hypothesis (p-values; choosing a test; types of errors – false positive and false negative results; multiple testing)
- Correlation vs. simple linear regression to test relationships between quantitative variables (differences in aims and links between the two approaches; simple linear regression vs. ANOVA)
- Multiple linear regression to adjust for confounding; Interpretation of findings; examples of the impact of confounding on estimates of interest
- Different measures of risk (binary outcomes): relative measures of risk (odds ratio, relative risk, hazard ratio); absolute measures of risk (risk difference, NNT/NNH)
- Simple and multiple logistic regression (binary outcomes): interpretation of findings; examples of the impact of confounding on the estimates of interest
- Power and sample size calculations: why we need them and what parameters we need to perform them ; examples of sample size and power calculations for continuous and binary outcomes

The course concluded with a practical session: revision and discussion of concepts presented in the course using real examples. Feedback with answers to questions through online voting.

Suitable for - Doctors, nurses, clinical research fellows and postgraduate students

Accredited by the Royal College of Physicians: 6 CPD points 


Credit for main photo: Carlos Muza on Unsplash 

A few 'in person' photos from November 2019, which was held 'in person' (credits: Diana van der Plaat): 

James Potts introduces the first of his two practical Data Analysis sessions; Alex Adamson presents 'Power and sample size'; Winston Banya presents 'Basic concepts of survival analysis'; the paper critique session in progess.