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Related Experiment Video

Updated: May 25, 2026

Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation
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Published on: January 16, 2019

Some comments on "assessing clinical significance".

Z Martinovich1, S Saunders, K Howard

  • 1a Northwestern University.

Psychotherapy Research : Journal of the Society for Psychotherapy Research
|January 17, 2012
PubMed
Summary
This summary is machine-generated.

Extending clinical significance (CS) methodology faces challenges, particularly when measuring social impact. Proposed extensions may worsen existing issues with measure appropriateness and psychometric properties.

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Last Updated: May 25, 2026

Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation
07:15

Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation

Published on: January 16, 2019

Area of Science:

  • Psychometrics
  • Clinical Psychology
  • Social Impact Assessment

Background:

  • Clinical significance (CS) methodology is crucial for evaluating treatment effectiveness.
  • Previous extensions to CS methodology have been proposed to address its limitations.
  • General difficulties exist in applying CS methodology, particularly in diverse populations.

Purpose of the Study:

  • To critically evaluate proposed extensions to clinical significance (CS) methodology.
  • To identify and discuss problems exacerbated by these extensions, especially concerning social impact.
  • To offer recommendations for addressing the identified methodological challenges.

Main Methods:

  • Analysis of proposed extensions to clinical significance (CS) methodology.
  • Discussion of psychometric properties and appropriateness of measures for social impact.
  • Examination of issues related to normative groups and criterion "c" with non-normal distributions.

Main Results:

  • Proposed extensions may compound, rather than solve, existing problems in CS methodology.
  • Measuring social impact with current methods presents challenges regarding measure appropriateness and psychometric validity.
  • Identifying diverse normative groups and applying statistical criteria like "c" to non-normal data remain problematic.

Conclusions:

  • Extensions to CS methodology require careful consideration to avoid exacerbating existing limitations.
  • Further research is needed to develop robust methods for assessing social impact and clinical significance.
  • Recommendations are provided to address the identified challenges in CS methodology and its extensions.