↙️ ↘️ An R package for working with causal directed acyclic graphs (DAGs)

Repository for the textbook 'Improving Your Statistical Inferences' by Daniel Lakens

A set of nice Quarto templates

The gfoRmula package implements the parametric g-formula in R. The parametric g-formula (Robins, 1986) uses longitudinal data with time-varying treatments and confounders to estimate the risk or me…

WeightIt: an R package for propensity score weighting

Covariate Balance Tables and Plots - An R package for assessing covariate balance

A suite of functions for reproducible causal mediation analyses

Delicatessen: the Python one-stop sandwich (variance) shop 🥪

A Quarto template for thesis dissertations at Universitat Pompeu Fabra

Common and less common pitfalls in epidemiological research.

Code for paper M-estimation: a worked example with connections to maximum likelihood estimation

Quantile g-computation with effect measure modification

Digital Ocean serverless function for posting to Bluesky with the AT Protocol

PhD paper #1

CV

Basic Quarto templates for selected journals.

Main repository for the 2nd paper of my PhD.

IPW R Package

JavaScript library for causal inference in graphical models

Simulation code relating to study entitled, "Lord's 'paradox' explained: the 50-year warning on the use of ‘change scores’ in observational data"

Variable importance in black-box regression

Talks and presentations.

Simple R package for tidy reporting of results.

List of papers with DAGs.

Information about myself.