Frank Hopkins – Medium

Frank Hopkins
in
Towards Data Science

Propensity Score Matching (PSM) for A/B Testing: Reducing Bias in Observational Studies

A comprehensive guide to implementing PSM with your experimental data, including Python code

12 min readApr 26, 2023

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Propensity Score Matching (PSM) for A/B Testing: Reducing Bias in Observational Studies

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Frank Hopkins
in
Towards Data Science

Detecting Sample Ratio Mismatch in your A/B Tests

This post helps you identify whether you have unbalanced cohorts in your digital experiments and incorporates some basic Python functions…

6 min readOct 20, 2021

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Detecting Sample Ratio Mismatch in your A/B Tests

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Frank Hopkins

Scraping FBRef to perform comparative football player analysis

This article breaks down some Python functions I wrote in order to compare Arsenal prospects and their attributes, using FBRef

5 min readJul 20, 2021

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Scraping FBRef to perform comparative football player analysis

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Frank Hopkins

Why did Arsenal perform so badly in 2020/21?

Here I use some basic machine learning techniques with 2020/21 English Premier League (EPL) data to try to get to the bottom of Arsenal’s…

11 min readJul 2, 2021

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Why did Arsenal perform so badly in 2020/21?

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Frank Hopkins
in
The Startup

Predicting Arsenal Fixtures with Elo Scores

How Premier League Elo scores can be used to predict the outcome of fixtures, using classification models in Sklearn

8 min readJan 31, 2021

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Predicting Arsenal Fixtures with Elo Scores

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Frank Hopkins
in
Towards Data Science

Bayesian A/B Testing with Continuous Variables — including Python Code

This article discusses how Bayesian estimation can be implemented in your digital experimentation methodology, with a specific focus on…

8 min readNov 4, 2020

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Bayesian A/B Testing with Continuous Variables — including Python Code

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Frank Hopkins
in
Towards Data Science

CUPED R-Shiny Tool

Introduction to CUPED

4 min readOct 11, 2020

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CUPED R-Shiny Tool

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Frank Hopkins
in
BBC Data Science

Increasing experiment sensitivity through pre-experiment variance reduction

This article discusses how the Experimentation team have been accounting for pre-experiment variance in order to increase the statistical…

6 min readSep 24, 2020

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Increasing experiment sensitivity through pre-experiment variance reduction

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4

Frank Hopkins
in
Towards Data Science

Using Dot Plots With Experimentation Data

This article will show how dot plots can be used to translate your experimentation findings in a digestible and jargon-free manner

5 min readApr 21, 2020

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Using Dot Plots With Experimentation Data

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Frank Hopkins
in
Better Programming

How to Build Recommendation Models With MyAnimeList and Sklearn (Part 2)

Simple techniques that can be used to recommend anime content based on user-rating correlations and feature variables

9 min readApr 3, 2020

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How to Build Recommendation Models With MyAnimeList and Sklearn (Part 2)

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Frank Hopkins

Frank Hopkins

Experimentation Data Scientist, specialising in digital experimentation. Posts ranging from data science to website optimisation and digi-analytics.

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