RIMeta

RIMeta estimates reference intervals (RIs) for biomarkers by synthesizing aggregate data from multiple studies using meta-analysis. It combines study-specific means, standard deviations, and sample sizes to derive generalized RIs representative of diverse healthy populations.

Key Features:

• Random and Fixed Effects Meta-Analysis: Implements both random-effects and fixed-effects models to estimate pooled reference intervals across studies.
• Aggregate Data Integration: Accepts study-level summary statistics, including mean, standard deviation, and sample size, for RI computation.
• Reference Interval Visualization: Generates graphical representations of estimated reference intervals for interpretation.

Scientific Applications:

• Biomarker Reference Standard Development: Supports derivation of generalized reference intervals for clinical and epidemiological biomarker studies.

Methodology:

RIMeta applies fixed-effects or random-effects meta-analysis models to pooled study-level summary statistics to estimate combined mean and variance parameters, from which reference intervals for healthy populations are calculated.