Statistical notes for clinical researchers: logistic regression

Statistical notes for clinical researchers: logistic regression

https://rde.ac Logistic regression is a regression model where the dependent variable is categorical and corresponding independent variables can be categorical or continuous. This article covers the case of a binary dependent variable such as an event occurring coded 1 = ‘event’ and 0 = ‘no event’. Frequent outcomes are pass/fail, win/lose, disease/no disease, etc. The logistic regression model...

Statistical notes for clinical researchers: effect size

328 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/ by-nc/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. In most clinical studies, p value is the final result of data analysis. A small p value...

Notes on Logistic Regression

Statistical notes for clinical researchers: post-hoc multiple comparisons

172 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/ by-nc/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. Statistical notes for clinical researchers: post-hoc multiple comparisons Open lecture ...

Statistical notes for clinical researchers: covariance and correlation

https://rde.ac Covariance and correlation are basic measures describing the relationship between two variables. They are a broad class of statistical tools which evaluate how two variables are related with dependence or association, especially for linear relationship. Difference between the two is that covariance is calculated under the original units of two variables, while correlation is obta...