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Elliot McClenaghan is an epidemiologist and doctoral researcher at the London School of Hygiene and Tropical Medicine, where his work focuses on the analysis of real-world health data.


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Published Content
Total: 12
Page of a calendar showing a month with three consecutive Saturdays circled.
Article

The Friedman Test

The Friedman test can be used to compare repeated measures or samples, such as following a person's biological functions over time. In this article, we consider its assumptions, when to use it and go through a worked example.

Smiling ladies of different weights representing samples of two populations.
Article

The Z Test

If you want to compare means of continuous variables between two groups or to a hypothesized value, you might need a z test. In this article, we explore the two types of z test, assumptions of the test, interpretation and a worked example.
An illustrated graph of height versus age, using images of people growing up rather than data points.
Article

Pearson Correlation

In this article, we will explore the theory, assumptions and interpretation of Pearson’s correlation, including a worked example of how to calculate Pearson’s correlation coefficient, often referred to as Pearson’s r.
Scatter graph showing the correlation between students' chemistry and math scores.
Article

Spearman Rank Correlation

In this article, we will explore the theory, assumptions and interpretation of Spearman’s rank correlation, a flexible statistical tool that assesses the strength and direction of the relationship between two quantitative, ranked variables.
Illustration of data that may be analyzed by Fisher's exact test, here icons represent males and females voting for and against.
Article

The Fisher’s Exact Test

In this article, we explore the theory, assumptions and interpretation of the Fisher’s exact test, used to investigate associations between two categorical, binary variables with small sample sizes, and take you through a worked example.
A title reading "An Introduction to Bayesian Statistics"
Article

An Introduction to Bayesian Statistics

Bayesian statistics has emerged as a powerful methodology for making decisions from data in the applied sciences. Bayesian brings a new way of thinking to statistics, in how it deals with probability, uncertainty and drawing inferences from an analysis.
Post-Hoc Tests in bold, dark blue writing on a white background.
Article

Post-Hoc Tests in Statistical Analysis

In this article, we review the function of post-hoc tests in statistical analysis, how to interpret them and when to use them (and not use them).
The Wilcoxon Signed-Rank Test.
Article

The Wilcoxon Signed-Rank Test

The Wilcoxon signed rank test, which is also known as the Wilcoxon signed rank sum test and the Wilcoxon matched pairs test, is a non-parametric statistical test used to compare two dependent samples (in other words, two groups consisting of data points that are matched or paired). In this article, we explain how and when this test should be used.
The Kruskal Wallis Test
Article

The Kruskal–Wallis Test

The Kruskal–Wallis test is a statistical test used to compare two or more groups for a continuous or discrete variable. This article explores what the Kruskal–Wallis test is, what it tells us and when it should be used.
Bold writing reading "The Chi-Squared Test" with a formula written faintly in the background.
Article

The Chi-Squared Test

The chi-squared test, often written as χ2 test, is a statistical hypothesis test used in the analysis of categorical variables to determine whether observed data are different from expectations. In this article, we explore the basics of this important test.
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