Zero Cell

Description

• Application: The impact of continuity correction methods in Cochrane reviews with single-zero trials with rare events: A meta-epidemiological study.: This study explores the effects of different continuity correction methods on Cochrane reviews involving single-zero trials with rare events, providing insights into optimal statistical approaches (Tsujimoto et al., 2024).The Most Probable Curve method - A robust approach to estimate kinetic models from low plate count data resulting in reduced uncertainty.: This paper introduces the Most Probable Curve method, which improves the estimation of kinetic models from low plate count data, reducing uncertainty and enhancing model reliability (Garre et al., 2022).USP: an independence test that improves on Pearsons chi-squared and the G-test.: This study introduces the USP test, an improved method for testing independence that outperforms traditional Pearson′s chi-squared and G-tests, especially in cases involving zero cells (Berrett and Samworth, 2021).Zero-cell corrections in random-effects meta-analyses.: The research discusses the application of zero-cell corrections in random-effects meta-analyses, providing methodologies to address zero-cell occurrences and improve the robustness of meta-analytical conclusions (Weber et al., 2020).
• Legal Information: SPECTROQUANT is a registered trademark of Merck KGaA, Darmstadt, Germany