Posts

More DRY (Don’t Repeat Yourself) — Meet `mutate(across())`

code

concept

Create or edit multiple columns efficiently.

Large Language Models are Just Statistics

concept

A plain-language look at how large language models like ChatGPT are really just massive probabilistic models — not magic, just statistics at scale.

Correlated Data

code

concept

modelling

A broad overview of implications for power, sample size and precision.

Are your Hazards Proportional? - What to do when it just ain’t so (Part 2)

code

concept

modelling

visualisation

The hazards of misunderstanding the hazard ratio.

Are your Hazards Proportional? - What to do when it just ain’t so (Part 1)

code

concept

modelling

visualisation

The hazards of misunderstanding the hazard ratio.

Model Prediction/Visualisation
6. Survival Analysis - Cox Model

code

concept

modelling

visualisation

How to survive visualising the Cox model.

Model Prediction/Visualisation
5. Linear Mixed Models (LMMs)

code

concept

modelling

visualisation

Visualising fixed vs random effects.

Model Prediction/Visualisation
4. Generalised Linear Models (GLMs)

code

concept

modelling

visualisation

Know what you are predicting when using GLMs.

Model Prediction/Visualisation
3. Non-Linear Functional Forms

code

concept

modelling

visualisation

Relaxing the linearity assumption does not make prediction/visualisation any more difficult.

Model Prediction/Visualisation
2. How Many Dimensions?

code

concept

modelling

visualisation

There is a practical limit to the number of predictors you can visualise.

Model Prediction/Visualisation
1. The Basics

code

concept

modelling

visualisation

How to predict from your model.

janitor - Your local R handypackage

code

Work smarter, not harder.

Missing Data and Multiple Imputation for Dummies
(Part 2)

code

concept

analysis

The core concepts and a simple example to get you up and running with MI in your next analysis.

Missing Data and Multiple Imputation for Dummies
(Part 1)

code

concept

analysis

The core concepts and a simple example to get you up and running with MI in your next analysis.

On the 12th Day of Christmas, a Statistician Sent to Me…

fun

R Programming - Try for DRY

code

concept

A general philosophy on making your code more efficient.

Survival Analysis - Under the Hood

code

concept

survival

If you find survival analysis confusing - this post is for you.

Breaking Free From ‘The Cult of P’

concept

fun

A reminder not to hang all your hopes and dreams on one insignificant number (see what I did there)

Epi. 101 Lesson - Confounding

analysis

code

concept

modelling

Confounding - how statistical adjustment relates to stratification.

Biostats Book Club

fun

resources

Rule # 1. You do not talk about Biostats Book Club.

tidylog - Console Messaging in R

code

Finally get some feedback about what your data manipulations are actually doing.

Logarithms and Why They’re Important in Statistics

code

concept

visualisation

Having to deal with logarithms may send a shiver down your spine, but they’re not as hard as you may think

Logistic Regression - Under the Hood

code

analysis

modelling

visualisation

probability

See how log-odds, odds and probability are all simply versions of each other - and fundamental to logistic regression.

Academic Research - “What’s in a Title?”

fun

“That which we call a paper by any other title would have as much impact?”

Reshaping Data - Think Before you Pivot

concept

code

Some common-use scenarios for reshaping your data from wide to long format