Summary of "Statistical Rethinking 2022 Lecture 01 - Golem of Prague"
The course aims to subjugate statistics to science, emphasizing the importance of integrating statistical modeling with scientific modeling and thinking.
- Traditional introductory statistics courses focus on consulting flowcharts to pick procedures that yield p-values, which may not address fundamental causation adequately.
- The course rethinks the role of statistics in research, aiming to fully integrate statistical and scientific modeling throughout a study.
- The importance of Bayesian statistics is highlighted, as it is now considered mainstream in major scientific publications.
- The metaphor of golems is used to represent powerful but potentially dangerous statistical models that require precise instructions to avoid misinterpretation.
- The concept of owls is introduced to emphasize the importance of documenting work, understanding statistical and scientific models, and following a respectable scientific workflow.
- Directed Acyclic Graphs (DAGs) are introduced as heuristic causal models that help clarify scientific thinking and guide the design of statistical procedures.
- The course will cover topics such as causal inference, prediction, causal imputation, and the importance of understanding and representing causal relationships in statistical analysis.
- The course structure includes a focus on theoretical s demand, scientific causal models, statistical procedures, validation through simulation, and analysis of real data.
- The course encourages a deep understanding of statistical and scientific models, the importance of clear documentation, and the use of heuristic causal models like DAGs to guide statistical analysis.
Category
Educational
