RIMeta: An R shiny tool for estimating the reference interval from a meta‐analysis

Z Jiang, W Cao, H Chu, F Bazerbachi… - Research synthesis …, 2023 - Wiley Online Library
A reference interval, or an interval in which a prespecified proportion of measurements from
a healthy population are expected to fall, is used to determine whether a person's …

Estimating reference intervals from an IPD meta-analysis using quantile regression

Z Jiang, H Chu, Z Wang, MH Murad… - BMC Medical Research …, 2024 - Springer
Background Reference intervals, which define an interval in which a specific proportion of
measurements from a healthy population are expected to fall, are commonly used in medical …

A Bayesian nonparametric meta‐analysis model for estimating the reference interval

W Cao, H Chu, T Hanson, L Siegel - Statistics in Medicine, 2024 - Wiley Online Library
A reference interval represents the normative range for measurements from a healthy
population. It plays an important role in laboratory testing, as well as in differentiating healthy …

An improved Bayesian approach to estimating the reference interval from a meta‐analysis: Directly monitoring the marginal quantiles and characterizing their …

L Siegel, H Chu - Research synthesis methods, 2023 - Wiley Online Library
Reference intervals, or reference ranges, aid medical decision‐making by containing a pre‐
specified proportion (eg, 95%) of the measurements in a representative healthy population …

[HTML][HTML] Minimizing Cohort Discrepancies: A Comparative Analysis of Data Normalization Approaches in Biomarker Research

A Tokareva, N Starodubtseva, V Frankevich… - Computation, 2024 - mdpi.com
Biological variance among samples across different cohorts can pose challenges for the
long-term validation of developed models. Data-driven normalization methods offer …

Research Synthesis Methodology for Normative Data and Genetic Data

W Cao - 2023 - search.proquest.com
A reference interval represents the normative range for measurements from a healthy
population. It can be interpreted as a prediction interval for a new individual from the overall …

Bayesian Hierarchical Models for Meta-Analysis

L Siegel - 2021 - conservancy.umn.edu
Meta-analysis is an important and widely used tool for synthesizing information from multiple
independent but related studies. While many meta-analyses, such as those of randomized …