IDEAS home Printed from https://ideas.repec.org/c/boc/bocode/s459864.html

RISKCALPLOT: Stata module to plot observed and model-predicted risks across values of discrete clinical scores

Author

Listed:
  • Suppachai Lawanaskol

    (Chaiprakarn Hospital, Chiang Mai, Thailand)

Programming Language

Abstract

riskcalplot displays observed event risks and model-predicted risks across the distinct values of one to five discrete clinical scores. For each score value, the observed risk is the proportion of observations with endpoint=1. Marker size is proportional to the number of observations at that score value. Unless noci is specified, each observed risk is accompanied by an exact Clopper-Pearson binomial confidence interval. The confidence level is controlled by level(). A separate regression model is fitted for each score. model(logit) fits a logistic risk function. model(log) fits a modified Poisson model with a log link and robust standard errors. The command uses a common complete-case analysis sample containing nonmissing values for the endpoint and every score specified in the command.

Suggested Citation

  • Suppachai Lawanaskol, 2026. "RISKCALPLOT: Stata module to plot observed and model-predicted risks across values of discrete clinical scores," Statistical Software Components S459864, Boston College Department of Economics.
    • Handle: RePEc:boc:bocode:s459864
    Note: This module should be installed from within Stata by typing "ssc install riskcalplot". The module is made available under terms of the MIT license (https://opensource.org/licenses/MIT).
    as

    Download full text from publisher

    File URL: http://fmwww.bc.edu/repec/bocode/r/riskcalplot.ado
    File Function: program code
    Download Restriction: no
    File URL: http://fmwww.bc.edu/repec/bocode/r/riskcalplot.sthlp
    File Function: help file
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:boc:bocode:s459864. 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 (email available below). General contact details of provider: https://edirc.repec.org/data/debocus.html .

    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.