Conceptual and Statistical Knowledge

Background The published clinical research literature may be distorted by the pursuit of statistically significant results. Purpose: We aimed to develop a test to explore biases stemming from the pursuit of nominal statistical significance. Methods …

This classic text on multiple regression is noted for its nonmathematical, applied, and data-analytic approach. Readers profit from its verbal-conceptual exposition and frequent use of examples.

Sample correlations converge to the population value with increasing sample size, but the estimates are often inaccurate in small samples. In this report we use Monte-Carlo simulations to determine the critical sample size from which on the magnitude …

Blogs about bad science

A blog about bayesian Statistics

Bayes factors are somewhat essential to Bayesian statistics. Tony O’Hagan explains their basics

A blog about Bayes for Beginners: Probability and Likelihood

This blog post is about a new statistical visualization. This time I’ve tried to illustrate the logic of bayesian updating and hypothesis testing, using a Bayesian t-test.

A video about battling bad science

Several researchers recently outlined unacknowledged costs of open science practices, arguing these costs may outweigh benefits and stifle discovery of novel findings. We scrutinize these researchers’ (a) statistical concern that heightened …