In:
Research Synthesis Methods, Wiley, Vol. 14, No. 3 ( 2023-05), p. 468-478
Abstract:
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 measurement is typical of a healthy individual. For a specific biomarker, multiple published studies may provide data collected from healthy participants. A reference interval estimated by combining the data across these studies is typically more generalizable than a reference interval based on a single study. Methods for estimating reference intervals from random effects meta‐analysis and fixed‐effects meta‐analysis have been recently proposed and implemented using R software. We present an R Shiny tool, RIMeta, implementing these methods, which allows users not proficient in R to estimate a reference interval from a meta‐analysis using aggregate data (mean, standard deviation, and sample size) from each study. RIMeta ( https://cers.shinyapps.io/RIMeta/ ) provides users a convenient way to estimate a reference interval from a meta‐analysis and to generate the reference interval plot to visualize the results. The use of this web‐based R Shiny tool does not require the installation of R or any background knowledge of programming. We explain all functions of the R Shiny tool and illustrate how to use it with a real data example.
Type of Medium:
Online Resource
ISSN:
1759-2879
,
1759-2887
Language:
English
Publisher:
Wiley
Publication Date:
2023
detail.hit.zdb_id:
2548499-0
