Ecologists should not use statistical significance tests to interpret simulation model results

By J. White, A. Rassweiler, J. Samhouri, A. Stier, Crow White. 2014

388 citations recorded by the source corpus.

Subfields: Ecological Modeling, Global and Planetary Change, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/698b84414b5f111d146b604cdb8f635165c2aea1

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Ecological Modeling

1. Maria João Santos
2. Adam B. Smith

In Nature and Landscape Conservation

1. Maria João Santos
2. Adam B. Smith

Citations in the corpus

• Human In Silico Drug Trials Demonstrate Higher Accuracy than Animal Models in Predicting Clinical Pro-Arrhythmic Cardiotoxicity (2017, background): “Very small p -values (e.g., p 1e-6) were obtained in all simulation results due to the high number of models considered, and therefore we focus on the magnitude of the differences observed (White et al., 2014).”
• Testing the ability of species distribution models to infer variable importance (2019, methodology): “Thus, our interest is in the effect size of the treatments (White et al. 2014), which can be discerned by eye.”