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Profile repeatability: A new method for evaluating repeatability of individual hormone response profiles.

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  • 1Department of Biology, Tufts University, Medford, MA, USA.

General and Comparative Endocrinology
|October 2, 2018
PubMed
Summary

This study introduces Profile Repeatability (PR), a new metric to assess individual response profile repeatability over time. PR offers a more accurate measure than traditional methods, crucial for understanding biological and behavioral variability.

Keywords:
Behavioral phenotypeBoldnessPersonalityReaction normResponse patternStress response

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Area of Science:

  • Physiology and behavior
  • Quantitative biology
  • Statistical modeling

Background:

  • Current methods for response repeatability focus on specific points or integrated totals, not the entire response profile shape.
  • Linear mixed models (LMM) provide average repeatability for groups but not for individual response profiles.
  • There is a need for a metric that quantifies individual-level repeatability of dynamic response patterns.

Purpose of the Study:

  • To develop and validate a novel metric, Profile Repeatability (PR), for assessing individual response profile repeatability.
  • To compare the novel PR metric with existing methods, including linear mixed models (LMM).
  • To evaluate the sensitivity of the PR metric to data sampling variations.

Main Methods:

  • Developed the Profile Repeatability (PR) metric, incorporating variance components and trajectory crossing in time series.
  • Utilized synthetic data with varying repeatability and real data from European starling corticosterone responses.
  • Assessed PR's performance against human observer rankings and LMM estimations, and tested its sensitivity to data reduction.

Main Results:

  • The novel PR metric provides individual-level repeatability scores, unlike LMM which offers group averages.
  • PR scores demonstrated greater discrimination in mid-range repeatability values compared to LMM.
  • Human observers showed variability in ranking synthetic data, and PR indicated potential underestimation of repeatability when profiles cross.

Conclusions:

  • Profile Repeatability (PR) offers a more precise method for quantifying individual response profile repeatability over time.
  • PR is valuable for analyzing nonlinear and non-monotonic response profiles common in physiology and behavior.
  • The study highlights the importance of individual-level repeatability assessment and suggests future improvements for the PR metric.