Statistics, Adjusted Statistics, and Maladjusted Statistics

Volume: 43, Issue: 2-3, Pages: 193 - 208
Published: May 1, 2017
Abstract
Statistical adjustment is a ubiquitous practice in all quantitative fields that is meant to correct for improprieties or limitations in observed data, to remove the influence of nuisance variables or to turn observed correlations into causal inferences. These adjustments proceed by reporting not what was observed in the real world, but instead modeling what would have been observed in an imaginary world in which specific nuisances and...
Paper Details
Title
Statistics, Adjusted Statistics, and Maladjusted Statistics
Published Date
May 1, 2017
Volume
43
Issue
2-3
Pages
193 - 208
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