125 110

Cited 0 times in

Growth Modulation Index의 추정에 대한 연구 : 잠재적 변수와 가속실패시간 모형의 적용

Other Titles
 Estimation of Growth Modulation Index Using Latent Variable and Accelerated Failure Time Model 
Authors
 박세정  ;  김윤남  ;  남정모 
Citation
 Journal of Health Informatics and Statistics (보건정보통계학회지), Vol.41(3) : 324-329, 2016 
Journal Title
 Journal of Health Informatics and Statistics (보건정보통계학회지) 
ISSN
 2287-3708 
Issue Date
2016
Keywords
Cytostatic ; Growth modulation index ; Latent variable ; Accelerated failure time model ; Kaplan-Meier
Abstract
Objectives: For cytostatic cancer trials, Growth Modulation Index (GMI) defined by an intrapatient progression-free survival (PFS) ratio, has been pro-posed to evaluate the efficacy of new target agent. The purpose of this study was to suggest new methods for the estimation of GMI with censored data in the first PFS (PFS1) interval, and subsequent second PFS (PFS2) interval. Methods: The proposed methods include latent variable approach based on Rank Preserving Structural Failure Time (RPSFT) model and Accelerated Failure Time (AFT) model. Simulations were conducted to compare the perfor-mance of proposed GMI estimates and estimates based on the Kaplan-Meier method in terms of bias and mean squared error (MSE) by varying depen-dency of two PFS and censoring rates. Results: Simulation results show that new GMI estimates using latent variable approach and AFT model exhibited smaller bias and MSE than the previous estimates based on the Kaplan-Meier survival function. As censoring rates increased in PFS1, bias and MSE increased in the previous GMI estimates. When the AFT model was applied in the case of high censoring rates, bias was relatively higher than those of latent variable approach. Conclusions: When using GMI as primary endpoint in cancer clinical trials, cautious statistical application and interpretation is needed, particularly for the presence of censored data in the first PFS interval.
Files in This Item:
T201604144.pdf Download
DOI
10.21032/jhis.2016.41.3.324
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Preventive Medicine and Public Health (예방의학교실) > 1. Journal Papers
Yonsei Authors
Nam, Jung Mo(남정모) ORCID logo https://orcid.org/0000-0003-0985-0928
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/152307
사서에게 알리기
  feedback

qrcode

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Browse