Brief introduction to parametric time to event model
Translational and Clinical Pharmacology
;
: 1-5, 2021.
Article
in English
| WPRIM
| ID: wpr-919401
ABSTRACT
This tutorial explains the basic concept of parametric time to event (TTE) models, focusing on commonly used exponential, Weibull, and log-logistic model. TTE data is commonly used as endpoint for treatment effect of a drug or prognosis of diseases. Although nonparametric Kaplan-Meier analysis has been widely used for TTE data analysis, parametric modeling analysis has its own advantages such as ease of simulation, and evaluation of continuous covariate. Accelerated failure time model is introduced as a covariate model for TTE data together with proportional hazard model. Compared to proportional hazard model, accelerated failure time model provides more intuitive results on covariate effect since it states that covariates change TTE whereas in proportional hazard model covariates affect hazard.
Full text:
Available
Index:
WPRIM (Western Pacific)
Language:
English
Journal:
Translational and Clinical Pharmacology
Year:
2021
Type:
Article
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