Understanding a Normal Distribution of Data (Part 2).

Maltenfort, Mitchell · Clin Spine Surg · 2016

review · Level V

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Abstract

Completing the discussion of data normality, advanced techniques for analysis of non-normal data are discussed including data transformation, Generalized Linear Modeling, and bootstrapping. Relative strengths and weaknesses of each technique are helpful in choosing a strategy, but help from a statistician is usually necessary to analyze non-normal data using these methods.

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