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- £195.00
- Description
Person residing in a low and middle income country, as defined by DAC list at time of registration.
In line with the University of Nottingham’s commitment to sustainability, we are no longer routinely printing our course materials (e.g. slides, handouts). Instead, you will be provided with a link at least 7 days before the course start date where all materials can be accessed. We appreciate that everyone has different learning styles and people like to record their own notes in different ways, e.g. notebook, tablet device, laptop, on the slides. If you would prefer to receive paper copies, in a lever arch file, of all course materials at the start of the course, please let us know at least 3 weeks before the course start date and we will be happy to provide these for you.
Light refreshments will be provided in the morning before the course begins and for morning and afternoon breaks. Lunch will also be provided.
More InformationThis 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. Most practical work during the course will be paper based, 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 practical must bring a laptop with Stata installed. We can provide temporary licenses for those who do not have Stata. 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
Course Outline
During the 3 days of the course, the following topics are covered: - Introduction to quantitive research and types of data
- Summarising and displaying data
- Sampling and standard errors
- Hypothesis testing and p-values
- Confidence intervals
- Comparing two means
- Conmparing two proportions
- Introduction to correlation, linear regression and logistic regression
- Sample size estimation
- Application of statistical methods for analyses of clinical trials data and interpretation of results from the applied statistical methods
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