Regression and correlation

(Under construction)
You must cite this article if you use its information in other circumstances. An example of citing this article is:
Ronny Gunnarsson. Regression and correlation [in Science Network TV]. Available at: https://science-network.tv/regression-and-correlation/. Accessed April 23, 2019.

Regression and correlation focuses on how variables correlate. Often one or several variables are defined as dependent meaning that they are believed to alter when the value of other independent variables change. There are different types of regression :

  • Simple regression: One dependent and one independent variable
  • Multivariable regression = multiple regression: More than one dependent variable
  • Multivariate regression: More than one independent variable
  • Multivariate multivariable regression: More than one dependent variable as well as more than one independent variable.

This can be expanded:

Simple regressionMultivariable regression = multiple regression Multivariate regressionMultivariate multivariable regression
Linear regressionSimple linear regression = Unadjusted linear regressionMultivariable linear regression = multiple linear regression = adjusted linear regressionFactor analysisFactor analysis
Logistic regressionSimple logistic regression = unadjusted logistic regressionMultivariable logistic regression = multiple logistic regression = adjusted logistic regressionMultivariate probit regression (bivariate probit regression is a special case with two dependent variables)Multivariate multivariable probit regression
Proportional hazards regression = Cox regressionSimple proportional Hazards regressionMultivariable proportional Hazards regression / multiple proportional hazards regression??

Useful links:

References

You must cite this article if you use its information in other circumstances. An example of citing this article is:
Ronny Gunnarsson. Regression and correlation [in Science Network TV]. Available at: https://science-network.tv/regression-and-correlation/. Accessed April 23, 2019.

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