Bayesian Thinking in Clinical Research

1. 1Define a prior distribution for a clinical research problem using historical data or expert knowledge
2. 2Update the prior distribution with new data using Bayesian inference
3. 3Compare the results of Bayesian and frequentist approaches to clinical research
4. 4Apply Bayesian thinking to a real-world clinical research problem
5. 5Evaluate the impact of prior distributions on the results of a clinical study

Data scientists and clinical researchers can benefit from understanding Bayesian thinking to improve their research methods and results

💡 Prior distributions are crucial in Bayesian thinking and can significantly impact the results of clinical research

Bayesian thinking in clinical research: update your priors with new data!