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- W2493144906 endingPage "213" @default.
- W2493144906 startingPage "137" @default.
- W2493144906 abstract "Chapter 5 describes robust methods for comparing two distributions. Compared to traditional methods for comparing means, modern robust methods offer substantial gains in power under fairly general conditions. Included are methods for comparing both independent and dependent groups. The chapter begins with methods for comparing multiple quantiles. These methods are important because they provide a detailed sense of where the distributions differ and by how much. This is followed by methods for comparing trimmed means, M-estimators and measures of scale, including a level robust method for comparing the usual variances. Recent advances when measuring effect size are described. Modern rank-based methods are covered as well, which have the advantage of using a correct estimate of the standard error even when the distributions differ. The Wilcoxon–Mann–Whitney test uses a correct estimate of the standard when the distributions being compared are identical. But under general conditions it uses the wrong standard error, which can negatively impact power and result in inaccurate confidence intervals. Comparing two independent binomials is covered as well. The final section covers methods for comparing dependent groups. Recent results on handling missing values are covered. Relevant R functions are described and illustrated." @default.
- W2493144906 created "2016-08-23" @default.
- W2493144906 creator A5074064506 @default.
- W2493144906 date "2012-01-01" @default.
- W2493144906 modified "2023-10-15" @default.
- W2493144906 title "Comparing Two Groups" @default.
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