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A Tactile Automated Passive-Finger Stimulator (TAPS)
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An adaptive truncated product method for combining dependent p-values.

Xuguang Sheng1, Jingyun Yang

  • 1Department of Economics, American University, United States.

Economics Letters
|August 13, 2013
PubMed
Summary
This summary is machine-generated.

We developed a new adaptive truncated product method to select the best truncation point. A single-layer bootstrap procedure efficiently estimates results with correlated p-values.

Keywords:
AdaptivePanel cointegrationTruncated product methodp-value

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Area of Science:

  • Statistics
  • Computational Biology
  • Bioinformatics

Background:

  • Selecting an appropriate truncation point is crucial for statistical power in various analyses.
  • Correlated p-values present a challenge in accurately estimating statistical distributions.

Purpose of the Study:

  • To introduce an adaptive truncated product method for optimal truncation point selection.
  • To develop an efficient bootstrap procedure for handling correlated p-values within this method.

Main Methods:

  • An adaptive truncated product method was designed to automatically identify the best truncation point from candidate values.
  • A single-layer bootstrap procedure was implemented to estimate the distribution of the proposed method under p-value correlation.

Main Results:

  • The adaptive method successfully facilitates the selection of the optimal truncation point.
  • The bootstrap procedure provides an efficient way to estimate the distribution with correlated p-values.

Conclusions:

  • The proposed adaptive truncated product method offers an effective approach for statistical analyses involving p-value selection.
  • The single-layer bootstrap procedure enhances the reliability of estimations when dealing with correlated p-values.