Assessing non-inferiority for binary matched-pairs data with missing values: a powerful and flexible GEE approach based on the risk difference

Assessing non-inferiority for binary matched-pairs data with missing values: a powerful and flexible GEE approach based on the risk difference

Abstract Background Clinical studies often aim to test the non-inferiority of a treatment compared to an alternative intervention with binary matched-pairs data. These studies are often planned with methods for completely observed pairs only. However, if missingness is more frequent than expected or...

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Bibliographic Details
Main Authors: Johannes Hengelbrock, Frank Konietschke, Juliane Herm, Heinrich Audebert, Annette Aigner
Format: Article
Language:English
Published: BMC 2025-02-01
Series:BMC Medical Research Methodology
Subjects:
Risk difference
Confidence interval
GEE
Binary matched pairs
Non-inferiority
Online Access:https://doi.org/10.1186/s12874-025-02497-2
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https://doi.org/10.1186/s12874-025-02497-2

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