Analysing 2x2 Tables: Chi-Square Test and Beyond
Course
In London
Description
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Type
Course
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Level
Intermediate
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Location
London
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Class hours
5h
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Duration
1 Day
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Start date
Different dates available
This one-day course aims to demystify the range of statistics that can be used to summarise the associations between two binary variables.
It'll move beyond standard chi-square tests to investigate other options that may yield more useful information.
This course is run by UCL's Centre for Applied Statistics Courses (CASC) - part of the UCL Great Ormond Street Institute of Child Health (ICH).
Facilities
Location
Start date
Start date
About this course
The course is for non statisticians and is open to anyone who needs to understand or analyse 2x2 tables.
Knowledge of the very basics of statistics (such as means, standard deviation, confidence intervals, etc.) is beneficial.
You can request a certificate of attendance for this course once you've completed it.
the name of the completed course for which you'd like a certificate
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Subjects
- Risk
- Statistics
- IT risk
- Fishers exact testing
- ARR
- NNT
- RR
- Attributable risk
- Odds ratio
- Kappa
- Likelihood ratios
- Proportions tests
Course programme
When faced with exploring the relationship between two binary variables (e.g. comparing the percentage who test positive between two treatment groups, or between two subgroups such as males and females) it's common to display this as a 2x2 table and use a chi-square test to determine the statistical significance of any difference. Chi-square tests are commonly used to compare the percentage of individuals in two groups who share a trait.
However, there are many other statistics that may be applied to a 2x2 table to provide more useful information.
This course aims to help guide researchers through alternative analyses to decide on the most appropriate investigation of their data.
The following tests and concepts are covered in the course:
- Fishers exact testing
- Absolute risk reduction (ARR)
- Proportions tests
- Number needed to treat (NNT)
- Relative risk (RR)
- Attributable risk (AR)
- Odds ratio (OR)
- Kappa
- Sensitivity and specificity
- Positive and negative predictive values
- Likelihood ratios
For each statistic we consider the interpretation and appropriate usages.
Analysing 2x2 Tables: Chi-Square Test and Beyond
