In this paper we derive locally D-and ED p -optimal designs for the exponential, log-linear and three parameter EMAX-model. We show that for each model the locally D-and ED p -optimal designs are supported at the same set of points, while the corresponding weights are different. This indicates that for a given model, Doptimal designs are efficient for estimating the smallest dose which achieves 100p% of the maximum effect in the observed dose range. Conversely, ED p -optimal designs also yield good D-eciencies. We illustrate the results using several examples and demonstrate that locally D-and ED p -optimal designs for the EMAX-, log-linear and exponential model are relatively robust with respect to misspecification of the model parameters
Most of the design work has focused on the linear regression model due to its simplicity. However, a...
This dissertation introduces a new regression model in which the response variable is bounded by two...
c-optimal design problems for weighted polynomial models are discussed. Vectors c, where c-optimal d...
In this paper we derive locally D- and ED_p-optimal designs for the exponential, log-linear and thre...
We study locally D-optimal designs for some exponential models that are frequently used in the biolo...
We investigate optimal designs for discriminating between exponential regression models of different...
Many drug concentration-effect relationships are described by nonlinear sigmoid models. The 4-parame...
Many drug concentration-effect relationships are described by nonlinear sigmoid models. The 4-parame...
This thesis concerns optimal designs and estimation approaches for a class of nonlinear dose respons...
We consider two frequently used PK/PD models and provide closed form descriptions of locally optimal...
One of the most complex tasks during the clinical development of a new drug is to find a correct dos...
In dose-response studies, the dose range is often restricted due to concerns over drug toxicity and/...
Censoring occurs in many industrial or biomedical ‘time to event’ experiments. Finding efficient des...
Bayesian optimal designs for nonlinear regression models are of some interest and importance in the ...
In the exponential regression model with an autoregressive error structure exact D-optimal designs f...
Most of the design work has focused on the linear regression model due to its simplicity. However, a...
This dissertation introduces a new regression model in which the response variable is bounded by two...
c-optimal design problems for weighted polynomial models are discussed. Vectors c, where c-optimal d...
In this paper we derive locally D- and ED_p-optimal designs for the exponential, log-linear and thre...
We study locally D-optimal designs for some exponential models that are frequently used in the biolo...
We investigate optimal designs for discriminating between exponential regression models of different...
Many drug concentration-effect relationships are described by nonlinear sigmoid models. The 4-parame...
Many drug concentration-effect relationships are described by nonlinear sigmoid models. The 4-parame...
This thesis concerns optimal designs and estimation approaches for a class of nonlinear dose respons...
We consider two frequently used PK/PD models and provide closed form descriptions of locally optimal...
One of the most complex tasks during the clinical development of a new drug is to find a correct dos...
In dose-response studies, the dose range is often restricted due to concerns over drug toxicity and/...
Censoring occurs in many industrial or biomedical ‘time to event’ experiments. Finding efficient des...
Bayesian optimal designs for nonlinear regression models are of some interest and importance in the ...
In the exponential regression model with an autoregressive error structure exact D-optimal designs f...
Most of the design work has focused on the linear regression model due to its simplicity. However, a...
This dissertation introduces a new regression model in which the response variable is bounded by two...
c-optimal design problems for weighted polynomial models are discussed. Vectors c, where c-optimal d...