Home // ICCGI 2012, The Seventh International Multi-Conference on Computing in the Global Information Technology // View article

The Application of Hierarchical Linear Model in the Study of Tumor Progression

Authors:
Shuang Li
Pu Wang
Liying Fang
Peiyu Chen

Keywords: hierarchical linear model; longitudinal data; cancer; time-varying.

Abstract:
This paper presents how to analyze the tumor progression data using hierarchical linear model. In the recent 20 years, cancer has been a serious threat to the human health and life; therefore, how to analysis the longitudinal data of patients effectively has become an urgent problem to be solved. In this article, we describe the principle of the hierarchical linear model and its application in the longitudinal study. Take a group of followed-up data of lung cancer patients for example; the output is the estimation of various parameters. I discussed the meaning of the various parameters in the hierarchical linear model and find out the influence of different fixed individual characteristics and the time-varying factors on the tumor progression. At the same time, we made a reasonable analysis of the strengths and weaknesses of hierarchical linear model.

Pages: 52 to 56

Copyright: Copyright (c) IARIA, 2012

Publication date: June 24, 2012

Published in: conference

ISSN: 2308-4529

ISBN: 978-1-61208-202-8

Location: Venice, Italy

Dates: from June 24, 2012 to June 29, 2012