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Inference

  • Standard deviation versus standard error
  • The miracle of the bootstrap
  • The difference between the sample mean and the population mean
  • A/B testing and Pearson’s chi-squared test of independence
  • The t-test and robustness to non-normality
  • Wald vs likelihood ratio test
  • A/B testing – confidence interval for the difference in proportions using R
  • Wilcoxon-Mann-Whitney as an alternative to the t-test
  • Adjusting for optimism/overfitting in measures of predictive ability using bootstrapping
  • Banning p-values from journals
  • On “The fallacy of placing confidence in confidence intervals”
  • Frequentists should more often consider using Bayesian methods
  • Independence of sample mean and sample variance
  • P-values after multiple imputation using mitools in R
  • Interpretation of frequentist confidence intervals and Bayesian credible intervals
  • Does a Bernoulli/binomial model really assume everyone has the same probability p?

Recent Posts

  • The role of post intercurrent event data in the estimation of hypothetical estimands in clinical trials
  • Multiple imputation for coarsened (grouped) factor covariates
  • What is meant by a ‘while on treatment’ estimand?
  • Does a Bernoulli/binomial model really assume everyone has the same probability p?
  • Multiple imputation with flexible parametric survival models
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