Wilcoxon-Mann-Whitney or t-test? On assumptions for hypothesis tests and multiple interpretations of decision rulesCausal inference in statistics: An overviewAnalyzing complex functional brain networks: Fusing statistics and network science to understand the brain(*†)Testing polynomial covariate effects in linear and generalized linear mixed models.Log-Concavity and Strong Log-Concavity: a review.Measuring multivariate association and beyond.A survey of cross-validation procedures for model selectionFinite mixture models and model-based clusteringIdentifying the consequences of dynamic treatment strategies: A decision-theoretic overviewA survey of Bayesian predictive methods for model assessment, selection and comparisonScalar-on-function regression for predicting distal outcomes from intensively gathered longitudinal data: Interpretability for applied scientistsA review of dynamic network models with latent variables
P1433
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P1433
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wetenschappelijk tijdschrift van American Statistical Association
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2007-01-01T00:00:00Z