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Analysing Deviation-From-Target Data: Applying the Correct Force in Sellick's Maneuver.

R D Baker1, R J Taylor, G Smurthwaite

  • 1a School of Business , University of Salford , Salford , UK.

Journal of Biopharmaceutical Statistics
|June 7, 2014
PubMed
Summary
This summary is machine-generated.

Statistical methods were developed to compare treatment deviations from a target. Nonparametric methods, including permutation tests and bootstrap, are recommended for analyzing loss functions like absolute error, showing a tactile device significantly improved force application.

Keywords:
CricoidDeviation from targetNonparametric bootstrapPermutation testProcess capabilitySellick’s maneuver

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Area of Science:

  • Medical Statistics
  • Biomedical Engineering
  • Applied Statistics

Background:

  • Comparing treatment deviations from a target is a common medical problem.
  • Practitioners often use t-tests on loss functions like absolute error.
  • Existing methods lack a normative approach for deviation-from-target analyses.

Purpose of the Study:

  • To develop and exemplify a normative statistical methodology for deviation-from-target problems.
  • To evaluate the performance of a tactile feedback device using these methods.
  • To compare parametric and nonparametric statistical analyses for such problems.

Main Methods:

  • Adaptation and development of statistical methods for deviation-from-target analysis.
  • Application of parametric and nonparametric statistical tests (t-test, permutation tests, bootstrap).
  • Evaluation of a tactile feedback device's performance in applied force control.

Main Results:

  • Nonparametric methods, specifically permutation tests and bootstrap, are recommended for loss function inference.
  • A novel permutation test was developed for situations with undefined loss functions.
  • The tactile sensing device significantly reduced bias and variance in applied force compared to manual application.

Conclusions:

  • Nonparametric methods offer robust inference for deviation-from-target problems, especially with absolute error loss functions.
  • Parametric analysis is suitable when deeper insight or covariate analysis is needed.
  • The tactile feedback device demonstrates superior performance in force application accuracy and consistency.