IDEAS home Printed from https://ideas.repec.org/c/boc/bocode/s457649.html
 

GGTAX: Stata module to identify the most suitable GG family model

Author

Listed:
  • Andres L Gonzalez Rangel

    (Instituto para la Evaluación de la Calidad y Atención en Salud - IECAS)

Programming Language

Stata

Abstract

ggtax is a postestimation command that creates a graph for an easy interpretation of the shape and scale parameters of a parametric survival regression with gamma distribution. When ggtax is ran after streg varlist, distribution(gamma) it takes the shape and scale parameters of the model and plots them with their respective confidence intervals in the taxonomic map of hazard functions for the generalized gamma (GG) distribution (Cox, Schneider and Muñoz; 2007).

Suggested Citation

  • Andres L Gonzalez Rangel, 2013. "GGTAX: Stata module to identify the most suitable GG family model," Statistical Software Components S457649, Boston College Department of Economics.
  • Handle: RePEc:boc:bocode:s457649
    Note: This module should be installed from within Stata by typing "ssc install ggtax". The module is made available under terms of the GPL v3 (https://www.gnu.org/licenses/gpl-3.0.txt). Windows users should not attempt to download these files with a web browser.
    as

    Download full text from publisher

    File URL: http://fmwww.bc.edu/repec/bocode/g/ggtax.ado
    File Function: program code
    Download Restriction: no

    File URL: http://fmwww.bc.edu/repec/bocode/g/ggtax.sthlp
    File Function: help file
    Download Restriction: no
    ---><---

    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:s457649. 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.