Multi-arm clinical trials use a single control arm to evaluate multiple experimental treatments. In most cases this feature makes multi-arm studies considerably more efficient than two-arm studies that evaluate single experimental treatments. A bottleneck for implementation is the requirement that experimental treatments need to be available at the enrollment of the first patient. New drugs are...

The geosciences are a highly suitable field of application for optimizing model parameters and experimental designs especially because many data are collected. In this paper, the weighted least squares estimator for optimizing model parameters is presented together with its asymptotic properties. A popular approach to optimize experimental designs called local optimal experimental designs is de...

1. Introduction In conventional setup the analysis of experimental data is based on the assumptions like normality, independence and constant variance of the observations. However, there may arise experimental situations where these assumptions, particularly the assumption of normality, may not be satisfied. In such situations non-parametric test procedures may become quite useful. A lot of att...

Three-factor interaction for the two-level, three-level, and four-level factorial designs was studied. A new technique and formula based on the coefficients of orthogonal polynomial contrast were proposed to calculate the effect of the three-factor interaction The results show that the proposed technique was in agreement with the least squares method. The advantages of the new technique are 1) ...

Despite the potential benefits of sequential designs, studies evaluating treatments or experimental manipulations in preclinical experimental biomedicine almost exclusively use classical block designs. Our aim with this article is to bring the existing methodology of group sequential designs to the attention of researchers in the preclinical field and to clearly illustrate its potential utility...

This article reviews phase 2-3 clinical trial designs, including their genesis and the potential role of such designs in treatment evaluation. The paper begins with a discussion of the many scientific flaws in the conventional phase 2 --> phase 3 treatment evaluation process that motivate phase 2-3 designs. This is followed by descriptions of some particular phase 2-3 designs that have been pro...

Screening experiments are addressed to the identiication of the relevant variables within some process or experimental outcome potentially depending on a large number of variables. In this paper we introduce a new class of experimental designs called edge designs. These designs are very useful for screening experiments since they allow a model-independent estimate of the set of relevant variabl...

Marketers have recently begun to embrace complex experimental designs for marketing and advertising testing. Full-factorial, fractional-factorial and Plackett–Burman designs have given marketers new statistical tools to increase the speed, power, and profitability of their testing programs. This case study shows how well constructed and managed experimental designs offer marketing professionals...

Measuring the quality of metadata is only possible by assessing the quality of the underlying schema and the metadata instance. We propose some factors that are measurable automatically for metadata according to the CMD framework, taking into account the variability of schemas that can be defined in this framework. The factors include among others the number of elements, the (re-)use of reusabl...

The present paper deals with the introduction of new experimental designs namely “Sudoku Designs”. The construction, analysis and application of sudoku designs are also discussed. The entire above is explained with the help of numerical examples.