This web page performs logistic regression, in which a dichotomous outcome is predicted by one or more variables. The program generates the coefficients of a prediction formula (and standard errors of estimate and significance levels), and odds ratios (with confidence intervals).

It extends John Pezzullo's http://statpages.info/logistic.html enabling you to calculate the predictive probability for specific covariate pattern(s), and for one dimensional models, ie. models with ONLY ONE predictor variable, you can generate a plot. You may optionally use summary data in either of 2 ways

- a variable with weights or
- two variables, one with the numbers of success and one with the number of failures

- N-row × M-col matrix
- First row
**must**contain column names

Use short informative names without special characters - Delimiter
`comma`

,`space`

or`tab`

- Use
**NA**for missing cases - Write, copy/paste or load CSV file

- Specify model (watch examples)
- List (comma separated) categorial variables
- Alpha-Numeric variable is treated as
**categorial** - For weigthed summary data specify the weight-variable