https://scholars.lib.ntu.edu.tw/handle/123456789/112210
Title: | PREDICTIVE SURVIVAL MODEL WITH TIME- DEPENDENT PROGNOSTIC FACTORS: DEVELOPMENT OF COMPUTER-AIDED SAS MACRO PROGRAM | Authors: | Chen, Li-Sheng Yen, Ming-Fang Wu, Hui-Min Liao, Chao-Sheng Liou, Der-Ming Kuo, Hsu-Sung Chen, Tony Hsiu-Hsi 陳秀熙 |
Keywords: | SAS Macro program;small hepatocellular carcinoma;survival;time-dependent Cox regression model | Issue Date: | 2005 | Journal Volume: | v.11 | Journal Issue: | n.2 | Start page/Pages: | 181-193 | Source: | JOURNAL OF EVALUATION IN CLINICAL PRACTICE | Abstract: | Aims and objectives: Computer program for the prediction of survival with respect to time-dependent proportional hazards regression model has been rarely addressed. We therefore developed a SAS Macro program for time-dependent Cox regression predictive model for empirical survival data associated with time-dependent covariates. Method: Time- dependent proportional hazards regression model and partial likelihood in association with time-varying predictors were explicitly delineated. Baseline hazard using Andersen's method was incorporated into proportional hazards regression model to predict the dynamic change of cumulative survival in respect of time-varying predictors. Two SAS Macro programs for time-dependent predictive survival model and model validation using receiver operative characteristics were written with SAS IML language. Results: The computer program was applied to data on clinical surveillance of small hepatocellular carcinoma (HCC) treated by percutaneous ethanol injection (PEI) or transcatheter arterial embolization (TAE) with time-varying predictors such as alpha-feto protein (AFP) and other biological markers. Conclusion: The program is very useful for real-time prediction of cumulative survival on the basis of time- dependent covariates. |
URI: | http://ntur.lib.ntu.edu.tw//handle/246246/81433 |
Appears in Collections: | 流行病學與預防醫學研究所 |
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