Identification of confounders and estimating the causal effect of place of birth on age-specific childhood vaccination
It is essential to use plasmode simulation data to validate the reproducibility of the proposed methods on the observed data. It is important to use outcome-cause covariates to adjust their confounding effect on the outcome. Using inverse probability treatment weighting gives unbiased treatment effect results as compared to the regression method of confounder adjustment. Institutional delivery increases the likelihood of childhood vaccination at the recommended schedule.
Authors
- Haile Mekonnen Fenta (ORCID: https://orcid.org/0000-0002-3919-2762)
- Zelalem G. Dessie (ORCID: https://orcid.org/0000-0001-9056-6822)
- Temesgen T. Zewotir (ORCID: https://orcid.org/0000-0003-1503-8055)
- Ashagrie Sharew Iyassu
Institutions
- Bahir Dar University (ET)
- Debre Markos University (ET)
- University of KwaZulu-Natal (ZA)
- University of Oulu (FI)
Publication Details
- Journal
- BMC Medical Informatics and Decision Making
- Published
- 2024-12-27
- DOI
- https://doi.org/10.1186/s12911-024-02827-2
- Primary Topic
- Advanced Causal Inference Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00