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Linear regression

  • Assumptions for linear regression
  • Regression inference assuming predictors are fixed
  • Linear regression with random regressors, part 2
  • The robust sandwich variance estimator for linear regression (theory)
  • R squared and adjusted R squared
  • R squared and goodness of fit in linear regression
  • The robust sandwich variance estimator for linear regression (using R)
  • Interval regression with heteroskedastic errors
  • R squared/correlation depends on variance of predictor
  • The mean of residuals in linear regression is always zero

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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