3 code implementations • 7 Apr 2020 • Brian D. Williamson, Peter B. Gilbert, Noah R. Simon, Marco Carone
In many applications, it is of interest to assess the relative contribution of features (or subsets of features) toward the goal of predicting a response -- in other words, to gauge the variable importance of features.
3 code implementations • 30 Mar 2020 • Nima S. Hejazi, Mark J. Van Der Laan, Holly E. Janes, Peter B. Gilbert, David C. Benkeser
We propose nonparametric methodology for efficiently estimating a counterfactual parameter that quantifies the impact of a given immune response marker on the subsequent probability of infection.
Methodology
1 code implementation • 9 Nov 2018 • Peter B. Gilbert, Bryan S. Blette, Bryan E. Shepherd, Michael G. Hudgens
While the HVTN 505 trial showed no overall efficacy of the tested vaccine to prevent HIV infection over placebo, previous studies, biological theories, and the finding that immune response markers strongly correlated with infection in vaccine recipients generated the hypothesis that a qualitative interaction occurred.
Applications
1 code implementation • 25 Jan 2018 • Yunda Huang, Yuanyuan Zhang, Zong Zhang, Peter B. Gilbert
In two harmonized efficacy studies to prevent HIV infection through multiple infusions of the monoclonal antibody VRC01, a key objective is to evaluate whether the serum concentration of VRC01, which changes cyclically over time along with the infusion schedule, is associated with the rate of HIV infection.
Methodology