Accelerated Failure Time (AFT) models

Versione 1.2.0.0 (19,7 KB) da Leonidas Bantis
Fits accelerated failure time models in the presence of right and/or left censoring.
0.0
(0)
1,1K download
Aggiornato 12 set 2012

Visualizza la licenza

The “aft” function fits models of the form:

Y=log(T)=g0+g1*Z1+g2*Z2+...+sigma*epsilon

where usually T is a time to event variable and g0, g1, ... and sigma are to be estimated. Since T is a time to event variable censoring might be involved. The “aft” function deals with possibly right and/or left censored data. With "sigma" we denote the scale parameter, and the regression coefficients are denoted by vector g=[g0 g1 g2...]. The covariates are denoted with Z1, Z2, ...

The distribution of "epsilon" defines the distribution of T. The user can specify this distribution using one of the following available options:
Exponential, Weibull, Log-normal, Log-logistic, Generalized Gamma.

The “aft” routine is supposed to be a MATLAB alternative to proc lifereg of SAS, or survreg of R. However the “aft” has less options.

Cita come

Leonidas Bantis (2024). Accelerated Failure Time (AFT) models (https://www.mathworks.com/matlabcentral/fileexchange/38118-accelerated-failure-time-aft-models), MATLAB Central File Exchange. Recuperato .

Compatibilità della release di MATLAB
Creato con R2010a
Compatibile con qualsiasi release
Compatibilità della piattaforma
Windows macOS Linux

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

aft models/

Versione Pubblicato Note della release
1.2.0.0

Just deleted an unnecessary m.file which was forgotten in there. No changes at all.
1.0.0.0