- log odds
- odds ratios
nice written by ATS UCLA team (as always)
A nice blog on the mechanics of logistic regression:
Calculate propesity score
Probability of each individual to be in the exposed and non-exposed group
Match the probabilty (propensity score) for each individual in the exposed and non exposed group
This will show
SOURCE : http://www.medicine.mcgill.ca/epidemiology/joseph/courses/epib-621/logfit.pdf
This is a good summary on the measure of the goodness of fit in logistic regression. The data can be searched online. It was based on the icu data available from the Hosmer-Lemeshow logistic regression book
The analysis in R.
The discussion is on:
PDF can be downloaded here: logfit
The author uses the glm function to analyze binary outcome data. If you use STATA, you maybe familiar with logit or logistic function because glm command in stata is rarely used.