title: Understanding a Normal Distribution of Data (Part 2).
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.
authors.affiliation: Rothman Institute, Philadelphia, PA.
authors.forename: Mitchell
authors.initials: M
authors.lastname: Maltenfort
mesh_terms: D003627:Data Interpretation, Statistical; D006801:Humans; D016011:Normal Distribution; D013122:Spinal Diseases / Q000601:surgery*; D013223:Statistics as Topic