Transcription of Data analysis and interpretation - epidemiolog.net
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14. data analysis and interpretation Concepts and techniques for managing, editing, analyzing and interpreting data from epidemiologic studies. Key concepts/expectations This chapter contains a great deal of material and goes beyond what you are expected to learn for this course ( , for examination questions). However, statistical issues pervade epidemiologic studies, and you may find some of the material that follows of use as you read the literature. So if you find that you are getting lost and begin to wonder what points you are expected to learn, please refer to the following list of concepts we expect you to know: Need to edit data before serious analysis and to catch errors as soon as possible.
Nevertheless, there is often the need to “edit” data, both before and after they are computerized. The first step is “manual” or “visual editing”.
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Cluster Analysis, Variables, Continuous variables, ANALYSIS OF CONTINUOUS VARIABLES, ANALYSIS OF CONTINUOUS VARIABLES: COMPARING, Analysis, Factor analysis, An Introduction to Survival Analysis, Continuous, Types of Variables, Indiana University Bloomington, DISCRIMINANT FUNCTION ANALYSIS, Data Analysis in SPSS Department of Psychology, Data Analysis in SPSS, Department of Psychology, Discrete: Continuous vs. Categorical Predictors, SAMPL Guidelines