Titlebook: Clinical Data Analysis on a Pocket Calculator; Understanding the Sc Ton J. Cleophas,Aeilko H. Zwinderman Textbook 2016Latest edition Spring

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Problems with Early Medieval Romanness,he term ordinal data is more appropriate for such data, and regression testing of ranks is more appropriate. The data need to be tested according to the magnitude of their rank numbers. This chapter is to assess how rank testing of regression models performs as compared to traditional linear regression.

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人造

Accord

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Kendall-Tau Regression for Ordinal Datahe term ordinal data is more appropriate for such data, and regression testing of ranks is more appropriate. The data need to be tested according to the magnitude of their rank numbers. This chapter is to assess how rank testing of regression models performs as compared to traditional linear regression.

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Confidence Intervalsfidence interval. The chapter shows how it can be calculated. The 95?% confidence interval can be used as an alternative to statistical significance testing. The advantages are that the intervals picture expected mean results of future data, and that they can be applied for studying therapeutic equivalence and noninferiority (Chaps. . and .).

CRAFT

Noninferiority Testing Instead of Null-Hypothesis Testings with an interval of equivalence in between, a single boundary. Noninferiority studies have been criticized for their wide margin of inferiority, making it, virtually, impossible to reject noninferiority. This chapter is to provide a three-step procedure to adequately analyze noninferiority trials.

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Data Spread, Standard Deviations square the departures first, and then add-up. The add-up sum of the squared departures is called the variance. The square root of the variance is called the standard deviation. This chapter shows how pocket calculators can be used for computation of standard deviations.

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Equivalence Testing Instead of Null-Hypothesis Testing adverse effects or other ancillary advantages. For the purpose of equivalence testing we need to set boundaries of equivalence prior to the study. After the study we check whether the 95?% confidence interval of the study is