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)

Contact Magda Wheatley for further information.

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Registration fees and furthe details to be announced shortly

 

For reference - details relating to our most recent (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 will conclude 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.