Comment: Quantifying the Fraction of Missing Information for Hypothesis Testing in Statistical and Genetic Studies
Tian Zheng, Shaw-Hwa Lo
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 insights and perspectives on the existing approach for measuring missing information in hypothesis testing.
Findings
Highlights limitations of current methods
Suggests potential improvements for quantification techniques
Emphasizes importance in 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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