Experimental Design

By Michael Festing, David Dewhurst and Jake Broadhurst

Experimental Design aims to help researchers, particularly those working with animals, to design more effective experiments which will deliver more information, produce more conclusive results, improve interpretation and reduce the number of experimental animals required. Type of record: Computer Program. Category: Miscellaneous.

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 Experimental Design aims to help researchers, particularly those working with animals, to design more effective experiments which will deliver more information, produce more conclusive results, improve interpretation and reduce the number of experimental animals required. It combines real life scenarios, working examples and background theory and throughout the student learns by exploration and engages in interactive practical exercises that give hands on exposure to the key concepts in experimental design. The program has been designed with the close collaboration of research scientists in industry and academia. In addition, members of the scientific community ranging from post-graduates to project leaders have evaluated the software to ensure the appropriateness of its content. The aims of this program are to enable the research scientist to: Estimate the number of animals needed to attain the scientific objectives economically and effectively; Select a suitable animal model; Avoid bias and deal with variability; Use appropriate statistical methods or more effectively consult professional statisticians. Sections exploring the key issues in experimental design are accessed from a menu. INTRODUCTION & AIMS: Primes the user as to why experimental design is so critical. Engages the user with data from a simple experiment to highlight design flaws; CHOICE OF ANIMAL MODEL: Explores the use of different strains (inbred and outbred stock) and covers the various types of animal model (predictive, explanatory, exploratory); THE EXPERIMENTAL UNIT: Uses interactive examples to explain the critical nature of the experimental unit and its importance; ELIMINATING BIAS: Covers techniques the user can employ to remove systematic differences between treatment groups and ensure that the experiments are not biased. Again interactive examples are used; APPLYING VALID STATISTICS: Covers the application of valid statistical tests to the user's data, explores the definition of hypotheses, choices of statistical tests, and interpretation of P; IMPROVING PRECISION: Making experiments more precise so that users can detect treatment differences. Ways of achieving this - ensuring uniformity, use of blocking, using power analysis and the resource equation method; INCREASING THE RANGE OF APPLICABILITY: Using the user's resources effectively to enable the user to interpret his/her findings over a wider range e.g. different treatments, different strains, sexes, sizes. Use of multi-factorial design; PLANNING AND ORGANISING: Key issues in designing and analysing effective (simple) experiments; SELF-ASSESSMENT ACTIVITY: Series of case studies and true/false questions with feedback to self-assess the user's understanding; SOFTWARE TOOLS & REFERENCES: Where to get further information.

Comments & References: Interactive computer based learning package to teach better experimental design. Suitable for all research scientists using experimental animals, but the principles of experimental design are applicable to most areas of biological and medical research. For System Requirement, please click here. Please see information on The Design of Animal Experiments: Reducing the Use of Animals in Research Through Better Experimental Design, Second Edition, which this Computer Program is based on.

Computer type: Windows and Macintosh

Price: Education: £50.00 (single user licence); £299.00 (multiuser/departmental licence); Non-education: £100.00 (single user); £600.00 (multiuser/departmental licence)

Version: 2008

This page was updated on 30 March 2017

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