Permutation Methods: A Distance Function Approach

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How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

The permutation testing approach: a review (2010, methodology): “Several books have recently been dedicated to these methods (Basso et al. 2009; Edgington and Onghena, 2007; Good, 2005; Mielke and Berry, 2007; Pesarin and Salmaso, 2010).”
Matching for Causal Inference Without Balance Checking (2008, unknown): “Methods violating this principle lead to less robust inferences with suboptimal and highly counterintuitive properties (Mielke and Berry, 2007).”
Why Propensity Scores Should Not Be Used for Matching (2019, methodology): “Statistical methods which violate this principle are known to generate nonrobust and counterintutive properties (Mielke and Berry, 2007).”
Testing the significance of a correlation with nonnormal data: comparison of Pearson, Spearman, transformation, and resampling approaches. (2012, methodology): “The near absence of recommendations for resampling in general quantitative methods texts is surprising given that many statistical methodologists advocate their use when parametric assumptions, such as marginal normality, are not met (e.g., Good, 2005; Manly, 1997; Mielke & Berry, 2007).”