Explains why Rao-Scott statistical tests maintain good size control in survey data analysis, compared to standard chi-squared tests.
Explores the Bayesian equivalent of a two-sample t-test, questioning traditional assumptions and proposing a model using discrete distributions.
Explains the relationship between Wald, score, and likelihood ratio tests in statistical modeling using visual diagrams and R code examples.
A tutorial on using the infer package in R for hypothesis testing through simulation, following a modern statistical approach.
Explores how a researcher's publication behavior influences the likelihood principle and statistical inference for other scientists.
A critique of a proposal to lower the p-value threshold for statistical significance from 0.05 to 0.005, arguing it addresses symptoms, not root causes.
