Analyzing missingness patterns in real-world data using the SMDI toolkit: application to a linked EHR-claims pharmacoepidemiology study
We were able to demonstrate the practical application of the SMDI toolkit in a real-world setting. Application of the SMDI toolkit and the resulting insights of potential missingness patterns can inform the choice of appropriate analytic methods and increase transparency of research methods in handling missing data. This type of approach can inform analytic decision making and may increase our ability to generate evidence from real-world data.
Authors
- Rishi Desai (ORCID: https://orcid.org/0000-0003-0299-7273)
- Kimberly J. Dandreo (ORCID: https://orcid.org/0000-0003-2332-1969)
- Vinit Nalawade (ORCID: https://orcid.org/0000-0002-6594-6740)
- Pamela A. Shaw (ORCID: https://orcid.org/0000-0003-1883-8410)
- Robert J. Glynn (ORCID: https://orcid.org/0000-0002-0697-8996)
- Janick Weberpals (ORCID: https://orcid.org/0000-0003-0404-7394)
- Sengwee Toh (ORCID: https://orcid.org/0000-0002-5160-0810)
- Bradley G. Hammill (ORCID: https://orcid.org/0000-0002-0389-6434)
- José J. Hernández‐Muñoz (ORCID: https://orcid.org/0000-0002-2553-3159)
- Sudha R. Raman (ORCID: https://orcid.org/0000-0001-8659-189X)
- Fang Tian (ORCID: https://orcid.org/0000-0003-1895-178X)
- John G. Connolly (ORCID: https://orcid.org/0000-0003-1916-557X)
- Wei Liu (ORCID: https://orcid.org/0000-0002-0434-4674)
- Jie Li (ORCID: https://orcid.org/0000-0001-8181-7140)
- Hana Lee (ORCID: https://orcid.org/0000-0001-5063-6689)
Institutions
- Brigham and Women's Hospital (US)
- United States Food and Drug Administration (US)
- Center for Drug Evaluation and Research (US)
- Harvard University (US)
- Kaiser Permanente Washington Health Research Institute (US)
- Duke University (US)
- Harvard Pilgrim Health Care (US)
- Seattle University (US)
Publication Details
- Journal
- BMC Medical Research Methodology
- Published
- 2024-10-19
- DOI
- https://doi.org/10.1186/s12874-024-02330-2
- Citations
- 4
- Primary Topic
- Statistical Methods in Clinical Trials
- Type
- article
- Field-Weighted Citation Impact
- 2.84
Funders
- U.S. Food and Drug Administration