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Accelerated Failure Time (AFT) models

version 1.2.0.0 (19.7 KB) by Leonidas Bantis
Fits accelerated failure time models in the presence of right and/or left censoring.

2 Downloads

Updated 12 Sep 2012

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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.

Cite As

Leonidas Bantis (2019). Accelerated Failure Time (AFT) models (https://www.mathworks.com/matlabcentral/fileexchange/38118-accelerated-failure-time-aft-models), MATLAB Central File Exchange. Retrieved .

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Updates

1.2.0.0

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

MATLAB Release Compatibility
Created with R2010a
Compatible with any release
Platform Compatibility
Windows macOS Linux