Abstract
The success of a clinical trial is dependent not only upon the design of a study protocol, but also upon the methods employed to ensure that clinical data are of high quality and in a suitable format for statistical analysis. These processes fall under the broad heading of ‘data handling’ and cover everything from data capture to monitoring, editing, database set-up, data entry, quality control and statistical analysis. A well designed data handling strategy will ensure the efficient collection and rapid processing of high quality clinical data. This chapter aims to give the reader a brief overview of some of key issues involved in these processes.
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Further reading
Altman, D.G. (1991). Practical statistics for medical research. London: Chapman and Hall.
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© 1995 Springer Science+Business Media Dordrecht
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Cohen, A., Posner, J. (1995). Data management and statistical analysis. In: Cohen, A., Posner, J. (eds) A Guide to Clinical Drug Research. Springer, Dordrecht. https://doi.org/10.1007/978-94-015-8463-0_8
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DOI: https://doi.org/10.1007/978-94-015-8463-0_8
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-015-8465-4
Online ISBN: 978-94-015-8463-0
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