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Experimental Design: the Randomized Blinded Study as an Instrument to Reduce Bias

Part of the Statistics for Biology and Health book series (SBH)

Abstract

From the previous chapter it should be clear that in most cases the before-after comparison in a single group of patients is an inadequate experimental design, as it fails to achieve comparisons free from bias. “Before” is not a good control for “after”, since the effects of many factors are mixed with the effect of the treatment, introducing all kinds of systematic errors. Generally, in this type of experimental design, bias has the effect of simulating or exaggerating the effect of the treatment.

Keywords

Randomization List Assessment Bias Allocation Ratio Simple Randomization Stratify Randomization 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Italia, Milano 2007

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