L. J. Wei, Z. Ying, D. Y. Lin, Linear Regression Analysis of Censored Survival Data Based on Rank Tests, Biometrika, Vol. 77, No. 4 (Dec., 1990), pp. 845-851 ...

Julie Barber, Simon Thompson, Multiple regression of cost data: use of generalised linear models, Journal of Health Services Research & Policy, Vol. 9, No. 4 (October 2004), pp. 197-204 ...

That is the the basic form of linear regression by hand. Note that there ARE other ways to do this - more complicated ways (assuming different types of distributions for the data).

Course Topics Ordinary linear regression (OLR) assumes that response variables are continuous. Generalized Linear Models (GLMs) provide an extension to OLR since response variables can be continuous ...

One option for working with survey data in R is to use the “survey” package. For an introduction on working with survey data in R, see our earlier blog post. The first step involves creating a survey ...

Nonlinear regression is a form of regression analysis in which data is fit to a model and then expressed as a mathematical function. Simple linear regression relates two variables (X and Y) with a ...

A linear regression is a statistical model that attempts to show the relationship between two variables with a linear equation. A regression analysis involves graphing a line over a set of data ...