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Activity Number:
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63
- Statistical Methods in Precision and Personalized Medicine and Subgroup Analysis
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Type:
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Contributed
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Date/Time:
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Sunday, August 7, 2022 : 4:00 PM to 5:50 PM
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Sponsor:
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Biopharmaceutical Section
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Abstract #320919
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Title:
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Identification of Immune Response Combinations Associated with Heterogeneous Infection Risk in the Immune Correlates Analysis of HIV Vaccine Studies
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Author(s):
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CHAERYON KANG* and Ying Huang
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Companies:
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Dept. of Biostatistics, University of Pittsburgh and Fred Hutchinson Cancer Research Center
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Keywords:
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Change-plane;
Immune-correlates analysis;
Latent subgroup analysis;
RV144 trial;
HIV vaccine study
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Abstract:
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In HIV vaccine/prevention research, probing into the vaccine-induced immune responses that can help predict the risk of HIV infection provides valuable information for the development of vaccine regimens. The present study aimed to identify the combinations of immune responses associated with the heterogeneous infection risk. We explored a "change-plane" via combination of a subset of immune responses that could help separate vaccine recipients into two heterogeneous subgroups in terms of the association between immune responses and the risk of developing infection. Additionally, we developed a new variable selection algorithm through a penalized likelihood approach to investigate a parsimonious marker combination for the change-plane. The resulting marker combinations can serve as candidate correlates of protection and can be used for predicting the protective effect of the vaccine against HIV infection. The application of the proposed statistical approach to the Thai trial has been presented, wherein the marker combinations were explored among several immune responses and antigens.
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Authors who are presenting talks have a * after their name.
