AI Agent Engineering Platform built on an Open Source TypeScript AI Agent Framework

Public repository for Agent Skills

Python package for conformal prediction

Biestadistica aplicada para el análisis de estudios epidemiologicos en medicina

A unique open textbook to teach the nuances of applying advanced epidemiological methods using real data.

Spanish 2011-2013 Life Tables by sex, age, and deprivation

Repository that contains all the data, code and manuscript files for a paper that explores the use of GAMs in biomedical research.

Extension for the R-package CICI (Causal Inference for Continuous Multiple Time Point Interventions)

Code to simulate the data generating mechanisms for CVTMLE paper.

Code to simulate the data generating mechanisms for CVTMLE paper.

💫 🎯 Automatic identification of variable and interaction importance using basis functions and non-parametric estimation of interactions/effect modification using joint stochastic interventions.

The daggle app—a tool to support learning and teaching the graphical rules of selecting adjustment variables using directed acyclic graphs (DAGs).

Ensemble Learning Targeted Maximum Likelihood for Stata users

Slides from public presentations

Multiple Imputation by Super Learning

An R package for full reporting of effect modification and interaction

Statistical Inference

Organize your project into a research website

Lecture notes for EC 607

Lecture Notes on Statistical Inference

Bayesian variable importance/selection, modeling and summary of conditional and marginal measures of association

Current version of the SuperLearner R package

Tutorial_Computational_Causal_Inference_Estimators

Introduction to the mosts common estimators and computation in causal inference for epidemiologists: A tutorial

Slides for Seattle Symposium Short Course 2020

Variable importance through targeted causal inference, with Alan Hubbard

Quickly create elegant regression results tables and plots when modelling in R