Transl Clin Pharmacol.
2021 Mar;29(1):1-5. 10.12793/tcp.2021.29.e7.
Brief introduction to parametric time to event model
- Affiliations
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- 1Department of Clinical Pharmacology and Therapeutics, Asan Medical Center, University of Ulsan, Seoul 05505, Korea
- KMID: 2525600
- DOI: http://doi.org/10.12793/tcp.2021.29.e7
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.
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