Scientific discovery in a model-centric framework: Reproducibility, innovation, and epistemic diversity

Scientific progress despite irreproducibility: A seeming paradox

(2018) Richard M. Shiffrin et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Some Natural Solutions to the p-Value Communication Problem—and Why They Won’t Work

(2017) Andrew Gelman et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

The Spacey Random Walk: A Stochastic Process for Higher-Order Data

(2017) Austin R. Benson et al.   SIAM REVIEW

Current Incentives for Scientists Lead to Underpowered Studies with Erroneous Conclusions

(2016) Andrew D. Higginson et al.   PLOS BIOLOGY

Publication bias and the canonization of false facts

(2016) Silas Boye Nissen et al.   eLife

The natural selection of bad science

(2016) Paul E. Smaldino et al.   Royal Society Open Science

Epistemic Landscapes, Optimal Search, and the Division of Cognitive Labor

(2015) Jason McKenzie Alexander et al.   PHILOSOPHY OF SCIENCE

Replication, Communication, and the Population Dynamics of Scientific Discovery

(2015) Richard McElreath et al.   PLoS One

Model selection principles in misspecified models

(2013) Jinchi Lv et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

Epistemic Landscapes and the Division of Cognitive Labor*

(2009) Michael Weisberg et al.   PHILOSOPHY OF SCIENCE