Analysis
Durability analysis for NYVAC challenge study timing
VISC statistician, Bryan Mayer, used data from 4 NHP studies testing NYVAC products (CAVD 259, CAVD 277, CAVD 281, and CAVD 434) to inform the design of an upcoming challenge study. Data on the duration of immune responses from the Binding Antibody Multiplex Assay (BAMA), Intracellular Cytokine Staining (ICS), and Neutralizing Antibody (nAb) TZM-bl assays were explored to help define a timeframe for challenge administration during which responses are still… Read more
Sample size calculation for CAVD 641
Here, we illustrate a sample size calculation using data from the CAVD DataSpace. In this study, our objective was to estimate sample size for a SOSIPv4.1 trimer vaccine study, CAVD 641, comparing the following adjuvants: Alum-3M052, administered via subcutaneous and intramuscular routes, versus GLA-LSQ administered via the intramuscular route. The outcome of interest was viral ID50 neutralization titer measured using the TZM-bl neutralization assay. There are… Read more
Pantaleo CAVD 434/AUP 567 publication and data
CAVD 434/AUP 567 study results were published in the May 2017 issue of the Journal of Virology. Zurawski G, Shen X, Zurawski S, Tomaras GD, Montefiori DC, Roederer M, Ferrari G, Lacabaratz C, Klucar P, Wang Z, Foulds KE, Kao SF, Yu X, Sato A, Yates NL, LaBranche C, Stanfield-Oakley S, Kibler K, Jacobs B, Salazar A, Self S, Fulp W, Gottardo R, Galmin L, Weiss D, Cristillo A, Pantaleo G, Levy Y. Superiority in Rhesus Macaques of Targeting HIV-1 Env gp140 to CD40 versus LOX-1 in… Read more
We're looking for collaborators
We anticipate that one of the primary ways people will use the DataSpace is to identify and export data for use in other analysis tools. We know that once you've identified data of interest, and maybe taken a quick look at the data in Plot, you'll probably want to export that data to take a closer look or do a more sophisticated analysis. We want to make that process of getting data into your own analysis tools as efficient and user friendly as possible. The DataSpace team is… Read more