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Introduction to Statistics
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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.

 Export to Your Calendar 18/03/2019 to 20/03/2019
When: 18 March 2019
09:00
Where: East Midlands Conference Centre
Beeston Lane
Nottingham, East Midlands  NG7 2RJ
United Kingdom
Contact: Nottingham Clinical Trials Unit
0115 82 31600

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To book and for more information please see the NCTU website: 

https://www.nottingham.ac.uk/nctu/short-courses/introduction-to-statistics.aspx


All 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 computer practical must bring a lap-top 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:

  • understand 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
  • 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
  • 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

Further Details

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
  • Introduction to correlation, linear regression and logistic 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.