Health Data Science Resources

A list of resources related to health data science, population health and clinical data science.

R statistics

1. Bayes Rules! An Introduction to Applied Bayesian Modeling
2. Statistical Tools for Causal Inference
3. The Epidemiologist R Handbook
4. Machine Learning-based Causal Inference Tutorial

Open datasets

1. NHS England Digital
2. Fingertips | Public health data
3. WHO GLobal Health Observatory

Reading List

1. Biostatistics reading list by Justin Belair, covering topics such as: Hypothesis Testing, Misinterpretations of p-values, power analysis, and other concepts, Design of Experiments, Lord's Paradox, Philosophical Questions, Classics, Missing Data, Causal Inference, Epidemiology, Bradford Hill Criteria And Their Legacy. Time-series Models, Modeling ordinal data and Modeling proportions data (in the 0-1 interval).
2. BMJ Research Methods and Reporting
3. 30 pharmacoepidemiology must-reads

AI and LLM

1. Attention is all you need
2. Open AI's paper: Training Language Models to Follow Instructions with Human Feedback

• Summary here

3. Using LLM as Judge

LLMs for RWE

1. Query, Don't Train: Privacy-Preserving Tabular Prediction from EHR Data via SQL Queries
2. GenAI in RWE: Innovation Meets Regulation
3. BRIDGE: Benchmarking Large Language Models for Understanding Real-world Clinical Practice Text + Linked post
4. Paper: Large language models improve transferability of electronic health record-based predictions across countries and coding systems + LinkedIn post
5. Paper Large language models in clinical trials: applications, technical advances, and future directions + LinkedIn post

RAG

1. RAG crash course

Health economic modelling

1. Key publications to learn R for Health Economic Evaluation

Targeted Minimum Loss-based Estimation (TMLE)

1. TL Revolution and Putnam Data Sciences Youtube channel
2. An Illustrated Guide to TMLE
3. TMLE course by Helene Charlotte
4. SuperLearner Guide