Comment: Quantifying the Fraction of Missing Information for Hypothesis Testing in Statistical and Genetic Studies
I-Shou Chang, Chung-Hsing Chen, Li-Chu Chien, Chao A. Hsiung
TL;DR
This paper comments on a method for quantifying missing information in hypothesis testing within statistical and genetic research, discussing its implications and potential improvements.
Contribution
It provides critical analysis and insights on the existing method for measuring missing information in hypothesis testing.
Findings
Highlights limitations of current methods
Suggests potential improvements for quantification
Discusses implications for genetic studies
Abstract
Comment on "Quantifying the Fraction of Missing Information for Hypothesis Testing in Statistical and Genetic Studies" [arXiv:1102.2774]
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