Cardinality matching versus propensity score matching for addressing cluster-level residual confounding in implantable medical device and surgical epidemiology: a parametric and plasmode simulation study
CM offered better sample retention but higher bias in most scenarios compared to PSM. More research is needed to guide the use of CM particularly in constraint setting for confounders for medical device and surgical epidemiology.
Authors
- Victoria Y. Strauss (ORCID: https://orcid.org/0000-0002-5172-512X)
- Daniel Prieto‐Alhambra (ORCID: https://orcid.org/0000-0002-3950-6346)
- Paul Coplan (ORCID: https://orcid.org/0000-0002-7078-7780)
- Mike Du (ORCID: https://orcid.org/0000-0002-9517-8834)
- Sara Khalid (ORCID: https://orcid.org/0000-0002-2845-5731)
- Stephen S. Johnston (ORCID: https://orcid.org/0000-0002-8444-0286)
Institutions
- Johnson & Johnson (United States) (US)
- Boehringer Ingelheim (Germany) (DE)
- Nuffield Orthopaedic Centre (GB)
- Erasmus MC (NL)
- University of Oxford (GB)
Publication Details
- Journal
- BMC Medical Research Methodology
- Published
- 2024-11-22
- DOI
- https://doi.org/10.1186/s12874-024-02406-z
- Citations
- 1
- Primary Topic
- Advanced Causal Inference Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.71