Use of Biostatistical Models to Manage Replicate Error in Concussion Biomarker Research.

ABSTRACT:

Importance

Advancing research on fluid biomarkers associated with sport-related concussion (SRC) highlights the importance of detecting low concentrations using ultrasensitive platforms. However, common statistical practices may overlook replicate errors and specimen exclusion, emphasizing the need to explore robust modeling approaches that consider all available replicate data for comprehensive understanding of sample variation and statistical inferences.

Objective

To evaluate the impact of replicate error and different biostatistical modeling approaches on SRC biomarker interpretation.

Design, setting, and participants

This cross-sectional study within the Surveillance in High Schools to Reduce the Risk of Concussions and Their Consequences study used data from heal

SUBMITTER: Tabor JB 

PROVIDER: S-EPMC10594140 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature