잠시만 기다려 주세요. 로딩중입니다.

Brief introduction to parametric time to event model

Translational and Clinical Pharmacology 2021년 29권 1호 p.1 ~ 5
임형석,
소속 상세정보
임형석 ( Lim Hyeong-Seok ) - University of Ulsan College of Medicine Asan Medical Center Clinical Pharmacology and Therapeutics,

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 non-parametric 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.

키워드

Parametric Time to Event Model; Accelerated Failure Time Model; Proportional Hazard Model

원문 및 링크아웃 정보

등재저널 정보