The recipient of the FAIR Data and Software Award Lower Saxony 2024 in the "Software" category will present insights into the published and award-winning data as well as their research in this talk. You can learn more about the FAIR Data and Software Award Lower Saxony 2024 at the homepage of FDM-NDS: https://fdm-nds.de/index.php/fair_award_2024/.
Abstract of the talk:
Reference intervals are a fundamental basis for interpreting medical laboratory data – they help to distinguish between “healthy” and “diseased”. By definition, they represent the central 95% range of laboratory results measured in healthy patients.
The R-package reflimR offers a fast and indirect approach for estimating reference limits from routine laboratory data. Even if the underlying data contains up to 25 % diseased individuals, reflimR provides robust results. The user-friendly Shiny application reflimR_Shiny enables these analyses even without programming knowledge.
In this presentation, you will not only gain a deep insight into the functionality and application of reflimR with practical examples, but also an outlook on current developments: With the new weighted sliding window method and the corresponding Shiny application reflimR_Sliding, reference limits can be estimated in relation to covariates such as age.
Registration is not required, but highly recommended, as it allows us to contact you in case of any changes and to share event materials with you.
The event is organized by the State Initiative Research Data Management Lower Saxony (FDM-NDS). FDM-NDS is a collaborative project under the umbrella of Hochschule.digital Niedersachsen and is funded through zukunft.niedersachsen, a funding program of the Lower Saxony Ministry of Science and Culture (MWK) and the Volkswagen Foundation.
