Logistic and Cox regressions are harder to understand. Linear regressions have an intuitive interpretation. Nomograms can be useful for teaching purposes. Therefore, nomograms can also be used in descriptive or exploratory data analysis. The longer the line corresponding to a given variable, the more important a variable is. With nomograms, variable importance is clear at-a-glance. Another possibility is to provide an on-line calculator, but this requires some programming and usually also "hides" the underlying model, while with a nomogram, the process is fully transparent.
#STATA 13 TO STATA 12 FULL#
Nomograms are better than most alternative approaches, such as providing the full regression formula or a table with all regression coefficients. This is useful when presenting the results of your predictive models in a convenient way in a printed format. Nomograms allow calculating output probabilities for predictive models with a visual approach. > What are logistic and Cox regression nomograms useful for? Why would I want to use nomograms? Why should I use nomolog and nomocox? > How can I get help / report a bug / suggest a new feature?Ģ) Have a look at the official documentation for these commands (install the programs and then execute help nomolog or help nomocox).ģ) If this does not solve your question, contact me. Víctor Abraira (IRICYS & Clinical Biostatistics Unit, Ramón y Cajal University Hospital). > Who are the authors of nomolog and nomocox?Īlexander Zlotnik (Technical University of Madrid & Ramón y Cajal University Hospital) and Dr. fast), a lot of attention is paid to numerical precision issues and it has a consistent syntax throughout all commands, which enables experienced users to learn new commands easily. Also, Stata is very efficient from a computational point of view (i.e. Our objective was to implement something that could work out-of-the-box, and could be used by a large number of researchers. Stata is neither free, nor open source, however there are large discounts for students, user-written programs can extend basic capabilities and it's widely used in biomedical research. Neither nomolog or nomocox are stand-alone programs. Some issues may arise with Small Stata, in models with a large number of variables.
Older versions are not supported.Īll editions are supported (Small Stata / IC / SE / MP). It generates nomograms for predictive Cox regression models. Sometimes, these are called Kattan-style nomograms. Nomolog is a user-written program for generating nomograms for binary logistic regression predictive models. Then, on the resulting webpage, clic on the same icon again to print. Click on the printer icon ( ) in the upper right corner of this page. > Can I get a printer-friendly version of this webpage?
#STATA 13 TO STATA 12 GENERATOR#
A general-purpose nomogram generator for predictive logistic regression models. If you find these programs and/or the information included in this webpage useful for your research, please consider including the following citation: > Suggested citation for nomolog and nomocox The purpose of this webpage is only to describe some useful programs and techniques for the Stata platform. Disclaimer: I am not associated to StataCorp in any way.
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