research
∙
03/02/2023
A general Bayesian approach to design adaptive clinical trials with time-to-event outcomes
Clinical trials are an integral component of medical research. Trials re...
share
research
∙
12/20/2022
Robust simulation design for generalized linear models in conditions of heteroscedasticity or correlation
A meta-model of the input-output data of a computationally expensive sim...
research
∙
10/18/2021
Optimal designs for experiments for scalar-on-function linear models
The aim of this work is to extend the usual optimal experimental design ...
research
∙
03/01/2021
General Bayesian L^2 calibration of mathematical models
A general Bayesian method for L^2 calibration of a mathematical model is...
research
∙
03/16/2020
A note on properties of using Fisher information gain for Bayesian design of experiments
Designs found by maximizing the expected Fisher information gain can res...
research
∙
11/03/2019
Bayesian adaptive N-of-1 trials for estimating population and individual treatment effects
This article presents a novel adaptive design algorithm that can be used...
research
∙
09/27/2019
Bayesian decision-theoretic design of experiments under an alternative model
Decision-theoretic Bayesian design of experiments is considered when the...
research
∙
03/11/2019
A synthetic likelihood-based Laplace approximation for efficient design of biological processes
Complex models used to describe biological processes in epidemiology and...
research
∙
03/19/2018
