STMIXED: Stata module to fit multilevel mixed effects parametric survival models
stmixed fits multilevel mixed effects parametric survival models using maximum likelihood. The distribution of the random effects is assumed to be Gaussian. Adaptive or non-adaptive Gauss-Hermite quadrature is used to evaluate the likelihood. Parametric survival models available include the exponential, Weibull, and Gompertz proportional hazards models, log-logistic, log-normal, and generalised gamma accelerated failure time models, and the Royston-Parmar flexible parametric survival model. Currently only two levels in the model are supported. Keywords: survival analysis, mixed models, multilevel models, parametric survival
|Requires:||Stata version 12.1|
|Date of creation:||27 May 2014|
|Date of revision:||04 Jun 2014|
|Note:||This module should be installed from within Stata by typing "ssc install stmixed". Windows users should not attempt to download these files with a web browser.|
|Contact details of provider:|| Postal: Boston College, 140 Commonwealth Avenue, Chestnut Hill MA 02467 USA|
Web page: http://fmwww.bc.edu/EC/
More information through EDIRC
|Order Information:||Web: http://repec.org/docs/ssc.php|
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