4 citations · 4 across the 4 of their papers we have counts for
5 papers
Assessing treatment efficacy for interval-censored endpoints using multistate semi-Markov models fit to multiple data streams
Raphael Morsomme, C. Jason Liang, Allyson Mateja +4
We introduce a computationally efficient and general approach for utilizing multiple, possibly interval-censored, data streams to study complex biomedical endpoints using multistat…
Assessing Vaccine Durability in Randomized Trials Following Placebo Crossover
Jonathan Fintzi, Dean Follmann
Randomized vaccine trials are used to assess vaccine efficacy and to characterize the durability of vaccine induced protection. If efficacy is demonstrated, the treatment of placeb…
Semi-parametric modeling of SARS-CoV-2 transmission using tests, cases, deaths, and seroprevalence data
Damon Bayer, Isaac Goldstein, Jonathan Fintzi +13
Mechanistic models fit to streaming surveillance data are critical to understanding the transmission dynamics of an outbreak as it unfolds in real-time. However, transmission model…
A linear noise approximation for stochastic epidemic models fit to partially observed incidence counts
Jonathan Fintzi, Jon Wakefield, Vladimir N. Minin
Stochastic epidemic models (SEMs) fit to incidence data are critical to elucidating outbreak dynamics, shaping response strategies, and preparing for future epidemics. SEMs typical…
Efficient data augmentation for fitting stochastic epidemic models to prevalence data
Jonathan Fintzi, Xiang Cui, Jon Wakefield +1
Stochastic epidemic models describe the dynamics of an epidemic as a disease spreads through a population. Typically, only a fraction of cases are observed at a set of discrete tim…