Sander Greenland

Scientists rise up against statistical significance

An introduction to instrumental variables for epidemiologists

Instrumental-variable (IV) methods were invented over 70 years ago, but remain uncommon in epidemiology. Over the past decade or so, non-parametric versions of IV methods have a...

Standardized estimates from categorical regression models

Abstract We consider the problem of interpreting categorical regression models, such as the polytomous logistic model, the continuation‐ratio model, the stereotype model, and th...

LIMITATIONS OF THE LOGISTIC ANALYSIS OF EPIDEMIOLOGIC DATA

Journal Article LIMITATIONS OF THE LOGISTIC ANALYSIS OF EPIDEMIOLOGIC DATA Get access SANDER GREENLAND SANDER GREENLAND Division of Epidemiology, School of Public Health, Univer...

Null misinterpretation in statistical testing and its impact on health risk assessment

Nonsignificance Plus High Power Does Not Imply Support for the Null Over the Alternative

This article summarizes arguments against the use of power to analyze data, and illustrates a key pitfall: Lack of statistical significance (e.g., p > .05) combined with high...