In the worked example we already considered above, if we run the multiple linear regression, we would generate a 95% confidence interval (CI) around the regression coefficient for age, which is a ...

Jean-Pierre Florens, Joël L. Horowitz, Ingrid Van Keilegom, Bias-Corrected Confidence Intervals in a Class of Linear Inverse Problems, Annals of Economics and Statistics, No. 128 (December 2017), ...

We find that constructing confidence intervals using multiple imputation based on logistic regression gives the most robust coverage probability and the choice of confidence interval method is less ...

Alternatively, multiple regression coefficients might show no statistical significance due to incorrectly estimated wide confidence intervals, yielding an elevated risk of false-negative results ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of linear regression with two-way interactions between predictor variables. Compared to standard linear ...