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- W2892017059 abstract "Chapter 9 provides an introduction to statistical testing,alongside the most common parametric tests. It reviews the basis of hypothesis testing while highlighting important concepts such as chance, bias, and confounding. Additionally, this chapter discusses fundamental topics in basic statistics, including p-value, type I and type II errors, alpha (α), beta (β), and statistical significance. The reader is taken throughout the basics of the theoretical explanation of t-test, ANOVA and linear regression, together with the indications of appropriate use for each of them. Additionally, the reader will learn how to perform and interpret the output for these tests in statistical softwares (e.g., STATA and SPSS). This chapter also examines the concept of normality and central limit theorem (CLT), and how it applies to the evaluation of data distribution." @default.
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- W2892017059 date "2018-03-01" @default.
- W2892017059 modified "2023-09-27" @default.
- W2892017059 title "Parametric Statistical Tests" @default.
- W2892017059 doi "https://doi.org/10.1093/med/9780199324491.003.0009" @default.
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