Three approaches for combining parameter estimation with opposing design criteria are
proposed for nonlinear models. The first method discussed is the technique found in the …

This article discusses optimal Bayesian crossover designs for generalized linear models.
Crossover trials with t treatments and p periods, for t<= p, are considered. The designs …

Optimal design methods for nonlinear models are dependent on the true but unknown
parameter values. Criteria for develo** designs that are robust to the choice of parameter …

The aim of this paper is to derive methodology for designing 'time to event'type experiments.
In comparison to estimation, design aspects of 'time to event'experiments have received …

Crossover designs, or repeated measurements designs, are used for experiments in which t
treatments are applied to each of n experimental units successively over p time periods …

In this article min–max crossover designs for binary and Poisson crossover trials with two
treatments are proposed. Models with and without carryover effects are considered. Min …

D-optimal designs for nonlinear fixed and mixed effects models are explored, and the theory
is applied to the measurement and analysis of bioelectrical impedance. Bioimpedance is …

Optimal two-treatment, p period crossover designs for binary responses are determined. The
optimal designs are obtained by minimizing the variance of the treatment contrast estimator …

Assumptions are usually made when optimising design for an experiment. Unexpected
departure from the assumptions may result in suboptimal design. This thesis aims to address …