Computer Aided Design of Experiments

Rasch, Daniel; Darius, Paul

doi:10.1007/978-3-642-57991-2_12

Cited by 3 publications

(2 citation statements)

References 6 publications

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“…Computer support for CCTs focuses on data management and analysis. Available software considering the planning phase, mainly addresses sample size determination and construction of designs [9]. Knowledgebased approaches in statistics, in addition to these two topics, provide support for the selection of an analysis method and for describing therapy plans [10][11][12].…”

Section: Introductionmentioning

confidence: 99%

Knowledge Representation for Computer-Aided Planning of Controlled Clinical Trials: the PATriCIa Project

Haag¹

1997

Methods Inf Med

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The main thesis of the PATriCIa project is that a knowledge-based system can provide efficient and reliable support for biometricians as well as physicians involved in planning of controlled clinical trials, resulting in a higher quality of medical research. Structure and contents of study protocols are analyzed, and an object-oriented method for formally representing biometric knowledge is proposed. A study protocol can be generated from this formal representation. The programming language Prolog is used to realize the system based on a blackboard architecture. It is concluded that the knowledge representation method developed in the PATriCIa project is well suited for the purpose of generating study protocols for controlled clinical trials.

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Section: Introductionmentioning

confidence: 99%

Knowledge Representation for Computer-Aided Planning of Controlled Clinical Trials: the PATriCIa Project

Haag¹

1997

Methods Inf Med

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“…These programs usually include special analysis procedures associated with the designs produced. Features of many of these programs have been summarised in a report by Rasch and Darius (1993).…”

Section: Introductionmentioning

confidence: 99%

Tools for the Construction of Effective Experimental Designs

Franklin¹,

Payne²

1993

Conference on Applied Statistics in Agriculture

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Experimenters should be able to choose between competing designs the one which yields the required information clearly and efficiently at the desired precision. One way to achieve this is to allow interaction between design and analysis but few statistical analysis packages include more than rudimentary design facilities. We review some of the theory and tools for design construction with a view to providing the statistician and experimenter with a tool-kit for building the most effective design. Examples in the design process are techniques for determining aliases and patterns of confounding, algorithms for constructing fractional factorial and incomplete block designs and methods of (restricted) randomization. Examples in analysis include algorithms for calculating efficiency factors, for estimating variance components and for assessing general balance.

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A Dialogue System for Model Choice and the Design of Agricultural Experiments

Rasch¹

1995

IFAC Proceedings Volumes

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Computer Aided Design of Experiments

Cited by 3 publications

References 6 publications

Knowledge Representation for Computer-Aided Planning of Controlled Clinical Trials: the PATriCIa Project

Knowledge Representation for Computer-Aided Planning of Controlled Clinical Trials: the PATriCIa Project

Tools for the Construction of Effective Experimental Designs

A Dialogue System for Model Choice and the Design of Agricultural Experiments

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