STMIXED: Stata module to fit multilevel mixed effects parametric survival models

Michael J. Crowther ()
Additional contact information
Michael J. Crowther: Karolinska Institutet

Statistical Software Components from Boston College Department of Economics

Abstract: stmixed fits multilevel mixed effects parametric survival models using maximum likelihood. The distribution of the random effects can be Gaussian or t-distributed. Adaptive or non-adaptive Gauss-Hermite quadrature or Monte Carlo integration can be used to evaluate the likelihood. Parametric survival models available include the exponential, Weibull, and Gompertz proportional hazards models, the Royston-Parmar flexible parametric survival model and its log hazard scale equivalent, or a user-defined general hazard function. Relative survival models can be fitted and delayed entry/left truncation is supported. Keywords: survival analysis, mixed models, multilevel models, parametric survival

Language: Stata
Requires: Stata version 14.2 and merlin from SSC (q.v.)
Date: 2014-05-27, Revised 2023-02-06
Note: This module should be installed from within Stata by typing "ssc install stmixed". 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.
References: Add references at CitEc
Citations:

Downloads: (external link)
http://fmwww.bc.edu/repec/bocode/s/stmixed.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/s/stmixed.sthlp help file (text/plain)
http://fmwww.bc.edu/repec/bocode/s/stmixed_pred.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/s/stmixed_postestimation.sthlp help file (text/plain)
http://fmwww.bc.edu/repec/bocode/s/stmixed_example1.dta sample data file (application/x-stata)
http://fmwww.bc.edu/repec/bocode/s/stmixed_example2.dta sample data file (application/x-stata)

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: https://EconPapers.repec.org/RePEc:boc:bocode:s457845

Ordering information: This software item can be ordered from
http://repec.org/docs/ssc.php

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 ().