Is Checking for Sequential Positivity Violations Getting You Down? Try sPoRT!
The sPoRT algorithm provides interpretable subgroups violating the sequential positivity violation, allowing patterns and trends in the confounders to be easily identified. We finally provided practical implications and recommendations when positivity violations are identified.
Authors
- Mireille E. Schnitzer (ORCID: https://orcid.org/0000-0001-8049-9646)
- Arthur Chatton (ORCID: https://orcid.org/0000-0002-0018-5899)
- Miguel Ángel Luque-Fernández (ORCID: https://orcid.org/0000-0001-6683-5164)
- Robert W. Platt (ORCID: https://orcid.org/0000-0002-5981-8443)
- Michael Schomaker (ORCID: https://orcid.org/0000-0002-8475-0591)
Institutions
- University of Cape Town (ZA)
- Universidad de Granada (ES)
- McGill University Health Centre (CA)
- Jewish General Hospital (CA)
- London School of Hygiene & Tropical Medicine (GB)
- Wellcome Centre for Infectious Diseases Research in Africa (ZA)
- McGill University (CA)
- Université de Montréal (CA)
- Ludwig-Maximilians-Universität München (DE)
Publication Details
- Journal
- Epidemiology
- Published
- 2025-08-26
- DOI
- https://doi.org/10.1097/ede.0000000000001902
- Citations
- 1
- Primary Topic
- Advanced Causal Inference Techniques
- Type
- article
- Field-Weighted Citation Impact
- 2.63
Funders
- Institut de Valorisation des Données
- National Institutes of Health
- Natural Sciences and Engineering Research Council of Canada
- National Institute on Alcohol Abuse and Alcoholism
- National Heart, Lung, and Blood Institute
- National Institute on Drug Abuse
- National Cancer Institute
- National Institute of Allergy and Infectious Diseases
- Fogarty International Center
- National Institute of Diabetes and Digestive and Kidney Diseases
- National Institute of Child Health and Human Development
- Eunice Kennedy Shriver National Institute of Child Health and Human Development