Bayesian Thinking
RCT
drug-development
bayes
decision-making
evidence
forward-probability
hypothesis-testing
inference
multiplicity
p-value
posterior
prior
sequential
2024
This presentation covers Bayesian thinking and how different it is from frequentist thinking, with a variety of examples. Unique advantages of Bayesian thinking are emphasized. Some of the topics covered are how frequentism gives the illusion of objectivity by switching the question, an example of frequentist vs. Bayesian answers to a simple question, why α is not the probability of an error, several other contrasts between the two approaches, and multiplicity.
- Janice Pogue Lecture in Biostatistics, Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada 2024-12-06
- Center for Biostatistics, Dept. of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, 2025-03-18.
- Slides