IDEAS home Printed from https://ideas.repec.org/a/tsj/stataj/v15y2015i2p537-546.html
   My bibliography  Save this article

A general-purpose nomogram generator for predictive logistic regression models

Author

Listed:
  • Alexander Zlotnik

    (Technical University of Madrid)

  • Victor Abraira

    (Ramon y Cajal University Hospital)

Abstract

Multivariate logistic regression is a statistical method commonly used in several fields to build predictive models. A nomogram is a tool that provides graphical depictions of all variables in the model and enables the user to easily compute output probabilities. Our objective was to build a flexible and easy-to-use nomogram generator in Stata. The script works after arbitrary logit or logistic commands. Copyright 2015 by StataCorp LP.

Suggested Citation

  • Alexander Zlotnik & Victor Abraira, 2015. "A general-purpose nomogram generator for predictive logistic regression models," Stata Journal, StataCorp LP, vol. 15(2), pages 537-546, June.
    • Handle: RePEc:tsj:stataj:v:15:y:2015:i:2:p:537-546
    Note: to access software from within Stata, net describe http://www.stata-journal.com/software/sj15-2/st0391/
    as

    Download full text from publisher

    File URL: http://www.stata-journal.com/article.html?article=st0391
    File Function: link to article purchase
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Mariana Hatmanu & Christiana Brigitte Sandu & Elisabeta Jaba, 2019. "A Comparative Study on Drivers for Corporate Environmental Responsibility, EU15 vs. EU-NMS13," Sustainability, MDPI, vol. 11(22), pages 1-27, November.
    2. Daniel Homocianu & Octavian Dospinescu & Napoleon-Alexandru Sireteanu, 2022. "Exploring the Influences of Job Satisfaction for Europeans Aged 50 + from Ex-communist vs. Non-communist Countries," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 159(1), pages 235-279, January.
    3. Aurelian-Petruș Plopeanu & Daniel Homocianu & Nelu Florea & Ovidiu-Aurel Ghiuță & Dinu Airinei, 2019. "Comparative Patterns of Migration Intentions: Evidence from Eastern European Students in Economics from Romania and Republic of Moldova," Sustainability, MDPI, vol. 11(18), pages 1-21, September.
    4. Amirhossein Jalali & Alberto Alvarez-Iglesias & Davood Roshan & John Newell, 2019. "Visualising statistical models using dynamic nomograms," PLOS ONE, Public Library of Science, vol. 14(11), pages 1-15, November.
    5. Daniel Homocianu, 2023. "Exploring the Predictors of Co-Nationals’ Preference over Immigrants in Accessing Jobs—Evidence from World Values Survey," Mathematics, MDPI, vol. 11(3), pages 1-29, February.
    6. Daniel Homocianu & Aurelian-Petruș Plopeanu & Rodica Ianole-Calin, 2021. "A Robust Approach for Identifying the Major Components of the Bribery Tolerance Index," Mathematics, MDPI, vol. 9(13), pages 1-20, July.
    7. Nasrin Borumandnia & Hassan Doosti & Amirhossein Jalali & Soheila Khodakarim & Jamshid Yazdani Charati & Mohamad Amin Pourhoseingholi & Atefeh Talebi & Shahram Agah, 2021. "Nomogram to Predict the Overall Survival of Colorectal Cancer Patients: A Multicenter National Study," IJERPH, MDPI, vol. 18(15), pages 1-11, July.
    8. Daniel Homocianu & Dinu Airinei, 2022. "PCDM and PCDM4MP: New Pairwise Correlation-Based Data Mining Tools for Parallel Processing of Large Tabular Datasets," Mathematics, MDPI, vol. 10(15), pages 1-27, July.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:tsj:stataj:v:15:y:2015:i:2:p:537-546. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Christopher F. Baum or Lisa Gilmore (email available below). General contact details of provider: http://www.stata-journal.com/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.