Assessing non-inferiority for binary matched-pairs data with missing values: a powerful and flexible GEE approach based on the risk difference
Our results indicate that the proposed GEE approach is a powerful alternative to existing methods and can be used for testing non-inferiority, even if the initial sample size calculation was based on a different statistical method. Furthermore, it increases the analytical flexibility by allowing the inclusion of additional covariates, in contrast to other methods.
Authors
- Frank Konietschke (ORCID: https://orcid.org/0000-0002-5674-2076)
- Annette Aigner (ORCID: https://orcid.org/0000-0003-4891-8921)
- Juliane Herm (ORCID: https://orcid.org/0000-0001-6873-2812)
- Johannes Hengelbrock (ORCID: https://orcid.org/0000-0003-2470-6027)
- Heinrich J. Audebert (ORCID: https://orcid.org/0000-0002-4785-0366)
Institutions
- Humboldt-Universität zu Berlin (DE)
- Martin-Luther-Krankenhaus (DE)
- Freie Universität Berlin (DE)
- Charité - Universitätsmedizin Berlin (DE)
Publication Details
- Journal
- BMC Medical Research Methodology
- Published
- 2025-02-27
- DOI
- https://doi.org/10.1186/s12874-025-02497-2
- Primary Topic
- Statistical Methods and Bayesian Inference
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Charité – Universitätsmedizin Berlin
- Einstein Stiftung Berlin