The Perils of Balance Testing in Experimental Design: Messy Analyses of Clean Data
Work
Year: 2017
Type: article
Abstract: Widespread concern over the credibility of published results has led to scrutiny of statistical practices. We address one aspect of this problem that stems from the use of balance tests in conjunction... more
Source: The American Statistician
Authors Diana C. Mutz, Robin Pemantle, Philip Pham
Institution University of Pennsylvania
Cites: 48
Cited by: 149
Related to: 10
FWCI: 7.167
Citation percentile (by year/subfield): 99.98
Subfield: Statistics and Probability
Field: Mathematics
Domain: Physical Sciences
Sustainable Development Goal Industry, innovation and infrastructure
Open Access status: green
Funder National Science Foundation
Grant ID DMS-1209117