Multiple linear regression modeling with values below a lower limit of quantification – a statistical method comparison

Abstract Background Missing values occur in almost all real-world medical data. Sometimes, more information is available for the missing values due to technical measurement limits. This was also the case for some sports medical data set where several laboratory measurements below a lower limit of qu...

תיאור מלא

מידע ביבליוגרפי

Principais autores:	Lorena Hafermann, Isao Yokota, Linda Kalski, Bernd Wolfarth, Carolin Herrmann
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	BMC 2026-01-01
סדרה:	BMC Medical Research Methodology
נושאים:	Statistical method comparison Left censoring Lower limit of quantification Regression model
גישה מקוונת:	https://doi.org/10.1186/s12874-026-02770-y
תגים:	הוספת תג אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!