Economics at your fingertips  

CUREREGR: Stata module to estimate parametric cure regression

Allen Buxton ()
Additional contact information
Allen Buxton: CureSearch, Children's Oncology Group

Statistical Software Components from Boston College Department of Economics

Abstract: cureregr fits a parametric cure model in either the non-mixture or mixture class. cureregr requires that the data be stset prior to use. The program works with simple entry and exit in one record per observation. It also works when there are multiple records per subject. This version of cureregr.ado works when the intervals [_t0, _t] are contiguous. Time-varying-covariates also can be estimated. cureregr revised in Stata version 13.0 allows for factor variable use. cureregr also allows use with the stepwise prefix property. The prior version is kept as a separate package, cureregr8, as it was written with Stata version 8.2.

Language: Stata
Requires: Stata version 13
Keywords: parametric cure regression; split-population model (search for similar items in EconPapers)
Date: 2004-10-09, Revised 2013-11-12
Note: This module should be installed from within Stata by typing "ssc install cureregr". The module is made available under terms of the GPL v3 ( Windows users should not attempt to download these files with a web browser.
References: Add references at CitEc
Citations: Track citations by RSS feed

Downloads: (external link) program code (text/plain) help file (text/plain) program code (text/plain) program code (text/plain) program code (text/plain) Mata object library (application/x-stata) additional documentation (application/pdf) additional documentation (application/pdf) additional documentation (application/pdf) example data file (application/x-stata) example job (text/plain) example job (text/plain) example job (text/plain)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link:

Ordering information: This software item can be ordered from

Access Statistics for this software item

More software in Statistical Software Components from Boston College Department of Economics Boston College, 140 Commonwealth Avenue, Chestnut Hill MA 02467 USA. Contact information at EDIRC.
Bibliographic data for series maintained by Christopher F Baum ().

Page updated 2022-08-09
Handle: RePEc:boc:bocode:s446901