37 citations · 75 across the 30 of their papers we have counts for
5 papers · 1 filter
A Benchmark for Dose Finding Studies with Continuous Outcomes
Pavel Mozgunov, Thomas Jaki, Xavier Paoletti
An important tool to evaluate the performance of any design is an optimal benchmark proposed by O'Quigley and others (2002, Biostatistics 3(1), 51-56) that provides an upper bound…
A review of the deterministic and diffusion approximations for stochastic chemical reaction networks
Pavel Mozgunov, Marco Beccuti, Andras Horvath +3
This work reviews deterministic and diffusion approximations of the stochastic chemical reaction networks and explains their applications. We discuss the added value the diffusion…
An information-theoretic approach for selecting arms in clinical trials
Pavel Mozgunov, Thomas Jaki
The question of selecting the "best" amongst different choices is a common problem in statistics. In drug development, our motivating setting, the question becomes, for example: wh…
Subgroup analysis of treatment effects for misclassified biomarkers with time-to-event data
Fang Wan, Andrew C. Titman, Thomas F. Jaki
Analysing subgroups defined by biomarkers is of increasing importance in clinical research. In some situations the biomarker is subject to misclassification error, meaning the true…
Loss Functions in Restricted Parameter Spaces and Their Bayesian Applications
Pavel Mozgunov, Thomas Jaki, Mauro Gasparini
Squared error loss remains the most commonly used loss function for constructing a Bayes estimator of the parameter of interest. However, it can lead to sub-optimal solutions when…