New Model for Estimating HIV Transmission from Mother to Child
Author Information
Author(s): Gard Charlotte C, Brown Elizabeth R
Primary Institution: University of Washington
Hypothesis
Can coarsened multinomial regression models provide better estimates of perinatal mother to child transmission of HIV compared to standard logistic models?
Conclusion
Coarsened multinomial regression models are preferred to standard logistic models for estimating perinatal mother to child transmission of HIV, especially when data is missing or tests are off-schedule.
Supporting Evidence
- The proposed cumulative and conditional models performed well compared to logistic models.
- Power to estimate intrapartum and perinatal transmission was consistently higher for the proposed models.
- Simulation results showed that the coarsened multinomial model reduced bias and mean squared error.
Takeaway
This study found a new way to better estimate how HIV is passed from mothers to babies, especially when some test results are missing.
Methodology
The study used coarsened multinomial regression models and compared them to standard logistic models through simulations.
Potential Biases
The approach relies on the assumption of non-informative missingness, which may not hold true for all endpoints.
Limitations
The model assumes that missing data is non-informative and may not separate intrapartum transmission from early breastfeeding transmission.
Participant Demographics
The study analyzed data from 2,052 liveborn infants born to HIV positive mothers, with 1,758 having complete data.
Digital Object Identifier (DOI)
Want to read the original?
Access the complete publication on the publisher's website