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Prospective HIV Clinical Trial Comparison by Expected Kullback-Leibler Divergence
LaMont Cannon1, Cesar Augusto Vargas Garcia2, Michael J Piovoso2
1University of Delaware Biomedical Engineering Department, Newark, DE 19716, USA.
Proceedings of the ... American Control Conference. American Control Conference
|January 16, 2018
Summary
Optimizing patient sampling schedules for HIV-1 research maximizes experimental data. Using Kullback Leibler Divergence (KLD) in experimental design yields more informative HIV-1 viral replication studies.
Area of Science:
- Biostatistics
- Virology
- Experimental Design
Background:
- Human subject protection protocols restrict blood sample volume and frequency.
- Limited sample availability necessitates careful experimental design for HIV-1 studies.
- Optimizing sampling schedules is crucial for maximizing information from limited patient samples.
Purpose of the Study:
- To develop a method for identifying sub-optimal sampling schedules that maximize information content in HIV-1 viral replication experiments.
- To leverage a validated HIV-1 model to assess the impact of sampling schedules on experimental outcomes.
Main Methods:
- Utilized a validated model of HIV-1 viral replication and 2-LTR production.
- Employed Forward Stepwise Regression (FSR) with Kullback Leibler Divergence (KLD) as a criterion to identify optimal sampling points.
- Evaluated schedules for experiments with four sample points over a 20-week period.
Main Results:
- Identified sub-optimal sampling schedules that significantly increase experimental information content.
- Demonstrated that FSR with KLD yields schedules with higher information yield compared to uniform or previous experimental schedules.
- Found that optimized schedules provide substantially more data from a limited number of samples.
Conclusions:
- Kullback Leibler Divergence (KLD) is an effective tool for optimizing experimental design in virology research.
- Informed sampling schedule selection can significantly enhance the information gained from limited patient samples in HIV-1 studies.
- This approach improves the efficiency and effectiveness of experiments constrained by human subject protection protocols.
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