Causal Bandits Podcast
Causal Inference, Clinical Trials & Randomization || Stephen Senn || Causal Bandits Ep. 012 (2024)
Mar 18, 2024
Guest Stephen Senn, an expert in causal inference and clinical trials, delves into the myths of randomization and the limitations of randomized trials in answering causal questions. He discusses the importance of understanding mechanisms of change, considering covariates, and the ethical challenges in clinical trials. Senn also explores innovative trial designs in asthma and chronic diseases, the impact of covariates in statistical analyses, and critiques the Bayesian method while engaging in philosophical discussions on determinism and free will.
01:18:05
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Quick takeaways
- Randomized trials have limitations in answering causal questions due to biases in balancing factors.
- Understanding trial design nuances is essential for accurate interpretations and for balancing statistical power.
Deep dives
Randomization and Misunderstanding of Perfect Estimation
Randomization in clinical trials is often critiqued due to a misunderstanding that perfect estimation is the goal. Critics argue that randomization does not perfectly balance all factors influencing outcomes, leading to biased estimates. However, this bias is accepted as it contributes to the estimate of error. The failure to grasp this concept results in prolonged debates without understanding the trial's design.
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