The Interpretation of the P-Values

Ton J. Cleophas, Aeilko H. Zwinderman and Toine F. Cleophas
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Ton J. Cleophas: European Interuniversity College of Pharmaceutical Medicine Lyon
Aeilko H. Zwinderman: Academic Medical Center Amsterdam, Department Biostatistics and Epidemiology
Toine F. Cleophas: Technical University

Chapter Chapter 9 in Statistics Applied to Clinical Trials, 2006, pp 103-115 from Springer

Abstract: Abstract In randomized controlled trials, prior to statistical analysis, the data are checked for outliers and erroneous data. Data-cleaning is defined as deleting-the-errors / maintaining-the-outliers. Statistical tests are, traditionally, not very good at distinguishing between errors and outliers. However, they should be able to point out main endpoint results that are closer to expectation than compatible with random sampling. E.g., a difference from control of 0.000 is hardly compatible with random sampling. As it comes to well-balanced random sampling of representative experimental data, nature will be helpful to provide researchers with results close to perfection.

Keywords: Area Under Curve; Heart Protection Study; Hypertension Optimal Treatment; Percutaneous Coronary Angioplasty; Hypertension Optimal Treatment Study (search for similar items in EconPapers)
Date: 2006
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DOI: 10.1007/978-1-4020-4650-6_9

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