/Health-data-science-resources

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

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

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
  • Modeling proportions data (in the 0-1 interval)
  1. BMJ Research Methods and Reporting

AI and LLM

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