Challenging Statistically Significant Findings and Exploring Bayesian vs. Frequentist Statistics

This chapter challenges the concept of statistically significant findings in randomized clinical trials and proposes a remedy using a shrinkage estimator. It also explores the pros and cons of Bayesian versus frequentist statistics, the use of Bayesian statistics in hierarchical multi-level models, and the differences between Bayesian and frequentist approaches. The chapter concludes with conjectures on teaching methodologies for these statistical approaches.

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