Linear regression

• 2024/01/25 A review of spline function procedures
• 2023/03/31 An Introduction to the Harrell"verse"
• 2021/11/27 Joke about the dangers of extrapolation
• 2021/11/01 Basics of cubic spline models
• 2021/10/29 Very simple spline models
• 2021/08/30 Shape-Restricted Regression Splines with R Package splines2
• 2018/03/28 And the least important variable is
• 2016/05/25 Understanding the lasso regression model
• 2016/03/30 The number of subjects per variable required in linear regression analyses
• 2014/01/01 An introduction to wavelets using R
• 2014/01/01 The qqplot
• 2010/10/01 Why the least squares regression line has to pass through XBAR, YBAR
• 2010/06/03 Computing power for an interaction in linear regression
• 2010/01/06 What is residual confounding?
• 2009/09/12 The controversy over standardized beta coefficients
• 2008/11/05 Four assumptions of multiple regression that researchers should always test
• 2008/10/07 How do I fit a piecewise linear regression
• 2008/07/11 Pearson correlation and ordinal data
• 2008/07/11 Pearson correlation and ordinal data don’t mix
• 2008/01/04 What statistic should I use when?
• 2007/12/28 When should you use a log transformation?
• 2007/06/13 Accounting for cyclical trends in a regression model
• 2007/01/18 Tests of hypothesis and confidence intervals involving a correlation coefficient
• 2006/11/16 Fitting a quadratic regression model
• 2006/06/05 An amusing correlation
• 2006/04/04 Can you use the coefficient of determination for categorical variables?
• 2006/04/04 Interpretation of the correlation coefficient
• 2006/04/04 What is a beta coefficient?
• 2003/04/23 Building a complex model
• 2002/08/01 Exploring interactions in a linear regression model
• 2002/06/24 Interpreting coefficients in a linear regression model
• 2002/06/21 SPSS dialog boxes for linear regression models
• 2000/01/27 Regression to the mean
• 1999/09/21 Steps in a typical linear regression analysis
• 1999/08/18 R-squared