Optimum Treatment Allocation in Clinical Trials Using Heteroscedastic Linear Models
نویسندگان
چکیده
In clinical trials comparing several treatments, it is often the case that the response variance varies from treatment to treatment. This paper discusses the optimal treatment allocation scheme in this situation. For the one-objective scenario, i.e:, pariwise comparison of all treatments, three allocation rules, namely, the optimal rule, the equal allocation rule and the naive rule, are given and compared. A rule of thumb is given consequently. For the multiple-objective scenario, several example are discussed and optimal allocation rules are derived.
منابع مشابه
Optimum Treatment Allocation for Dual-objective Clinical Trials with Binary Outcomes
One common problem in many randomized clinical trials is how to assign patients to several treatment protocols in an optimal way. The traditional optimal design is usually derived under a single criterion, although in reality, there are usually several objectives in a clinical trial. In this paper, optimal treatment allocation schemes are derived for multiple-objective clinical trials with bina...
متن کاملHeteroscedastic linear models for analysing process data
In this paper the guidelines for applying heteroscedastic linear models for analysing industrial process data is presented. Heteroscedastic linear models are considered as a good model family for the joint modelling of dispersion and mean. The model selection of heteroscedastic linear model is discussed considering the special features of industrial data. A procedure for dispersion model select...
متن کاملA Review on Medicinal Plants Used in Animal Models and Clinical Trials concerning Drug Addiction
Addiction to drugs, such as heroin, cocaine and alcohol, exacts great human and financial costs on society. Various evidence-based pharmacological and psychosocial interventions are currently used in the treatment of drug addiction but they do not produce adequate therapeutic benefits in every patient. Further, barriers such as financial cost, lack of availability, or perceptions of existing tr...
متن کاملOptimum allocation of Iranian oil and gas resources using multi-objective linear programming and particle swarm optimization in resistive economy conditions
This research presents a model for optimal allocation of Iranian oil and gas resources in sanction condition based on stochastic linear multi-objective programming. The general policies of the resistive economy include expanding exports of gas, electricity, petrochemical and petroleum products, expanding the strategic oil and gas reserves, increasing added value through completing the petroleum...
متن کاملEmpirical estimates for various correlations in longitudinal-dynamic heteroscedastic hierarchical normal models
In this paper, we first define longitudinal-dynamic heteroscedastic hierarchical normal models. These models can be used to fit longitudinal data in which the dependency structure is constructed through a dynamic model rather than observations. We discuss different methods for estimating the hyper-parameters. Then the corresponding estimates for the hyper-parameter that causes the association...
متن کامل