Project 1: Integration of Omic Data to Estimate Mediation or Latent Structures
This project will develop statistical approaches leveraging latent structures or mediating relationships for the integration of multiple omics data to better understand gene-to-phenotype relationships. The methods will be applicable to either individual-level data or summary statistics, and they will have a direct impact on applied investigations by facilitating a better understanding of potential mechanisms driving underlying cancer etiology.
Acceptability, feasibility, and preliminary impact of a web-based, HIV prevention toolkit with cisgender male couples in Lima, Peru
Affiliated GroupsPublication dateOctober 22, 2022StatusIn ProgressShareOverviewAssess feasibility to retain 60 consented and eligible male couples in a 6-month pilot RCT of an eHealth couples-based HIV/STI prevention toolkit through...
Affiliated GroupsPublication dateOctober 22, 2022StatusCompletedShareOverviewSystematic review of the literature on frameworks, measures, and interventions of HIV stigma.Investigators[pphs_api_faculty_card faculty_id="f240"...
Affiliated GroupsPublication dateOctober 22, 2022StatusIn ProgressShareOverviewA narrative synthesis that presents a comprehensive summary of the literature on surgeries on intersex infants and children and supports creation of a WHO global...