https://scholars.lib.ntu.edu.tw/handle/123456789/112268
標題: | SAS MACRO PROGRAM FOR NON- HOMOGENEOUS MARKOV PROCESS IN MODELING MULTI-STATE DISEASE PROGRESSION | 作者: | YEN, AMY, MING-FANG CHEN, TONY, HSIU-HIS 陳秀熙 |
關鍵字: | multi-state model;Markov model;exponential regression model | 公開日期: | 2004 | 卷: | v.75 | 期: | n.2 | 起(迄)頁: | 95-105 | 來源出版物: | COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE | 摘要: | Writing a computer program for modeling multi-state disease process for cancer or chronic disease is often an arduous and time-consuming task. We have developed a SAS macro program for estimating the transition parameters in such models using SAS IML. The program is very flexible and enables the user to specify homogeneous and non-homogeneous( i.e. Weibull distribution, log-logistic, etc.) Markov models, incorporate covariates using the proportional hazards form, derive transition probabilities, formulate the likelihood function, and calculate the maximum likelihood estimate (MLE) and 95% confidence interval within a SAS subroutine. The program was successfully applied to an example of a three- state disease model for the progression of cotorectal cancer from normal (disease free), to adenoma( pre-invasive disease), and finally to invasive carcinoma, with or without adjusting for covariates. This macro program can be generalized to other k-state models with s covariates. (C) 2004 Published by Elsevier Ireland Ltd. |
URI: | http://ntur.lib.ntu.edu.tw//handle/246246/81680 |
顯示於: | 流行病學與預防醫學研究所 |
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