
Common statistical mistakes you should avoid (link)
 What makes a statistical analysis wrong? (link)
 P values in small sample sizes (link)
 the common usage of a Welch type ttest (link)
 T test assumptions (link)
 A good review of the terminological uncertanties concerning dependent / independent variables (link)
 Wilcoxon significance with similar means (link), check out the ancient median test (wikipedia)
 Alphas, PValues, and Confidence Intervals: Oh My! (link)
 What is the LanDeMets approach to interim analysis? Calculation of corrected pvalues for increased Type I error (link)

Stop criteria for clinical trials: O’Brien–Fleming–type boundaries (link)
 How to choose a statistical test (link and link2)
 Analysis of covariance (here and here)
 Logistic Regression in R (link), estimated regression equation (link)
 6 Types of Dependent Variables that will Never Meet the GLM Normality Assumption (link)
 Spearman vs Pearson correlation for nonnormally distributed data (link)
 Median vs mean: when the median doesn’t mean what it means (link) and the median isn’t the message (link)
 Shifting from hypothesis testing to prefferential techniques. “The new statistics.” Cumming (2014) Psychological science (PDF link)
 Understanding Bayes: A Look at the Likelihood (link) by Alex Etz
 Krzywinski M, Altman N. Points of significance: Power and sample size. Nat Meth. 2013 Nov 26;10(12):1139–40.
 Button KS, Ioannidis JPA, Mokrysz C, Nosek BA, Flint J, Robinson ESJ, et al. Power failure: why small sample size undermines the reliability of neuroscience. Nat Rev Neurosci. Nature Publishing Group; 2013 Apr 10;14(5):365–76.
 Statistical inference is only mostly wrong (link)
 Interpreting regression output in R
 Beginners Guide to Bayesian statistics (PDF)
 The confusing case of choosing x and yaxes (link)
 General linear models: an introduction (link)
 Growth curve analysis in R (PDF)
 Generating a nested casecontrol cohort study using Epi in R (link)
 Understanding MatchIt output in R (StackExchange)
 Matching R package (paper PDF)
 Optmatch on CRAN (pdf)
 What is a propensity score (NCBI) and intro for observational studies (NCBI)
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