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Titlebook: Statistics Applied to Clinical Trials; Self-Assessment Book Ton J. Cleophas,Aeilko H. Zwinderman,Toine F. Cleo Book 2002 Springer Science+B

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Bias Due to Conflicts of Interests, Some Guidelines,be approved by an external protocol review board, little further external monitoring of the trial is required in Europe today. The present paper was written to review flawed procedures jeopardizing the credibility of current clinical trials, and to look for possible solutions to the dilemma between sponsored industry and scientific independence.
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Proportional Data Analysis: Part 2,er example of a discrete variable. Variables that can attain only two values are called dichotomous or binary. Typical examples of discrete variables with more than two values are, e.g., blood type (A, B, AB, O), genotype in general, race.
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Interim Analysis,ndangered: if participants know what happened to patients treated so far, they might change the protocol knowingly or unknowingly. This should not be allowed and, therefore, data should not be looked at before formal end of the trial.
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Equivalence Testing,A study unable to find difference is not same as an equivalent study.
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Meta-Analysis,Meta-analyses are post-hoc analyses.
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