SURVIVAL ANALYSIS OF POSTOPERATED PATIENTS WITH LUNG CANCER BY COX REGRESSION MODEL / 重庆医科大学学报

ABSTRACT

This paper presents the application of Cox regression model in survival analysis of lung cancer for the first time in China.By using Cox model,a multivariate analysis was made on 191 patients with lung cancer treated by operation. Among the twenty three factors, only pathological sort, the size of tumor,lymph node metastases,type of operai ions, infiltra -ing across the end of tumor,and complications showed a high significance with prognostic relationship. Of those factors influecing postoperative survivaltime,lymph node metastases, is detrimental for patients, squamasum carcinoma and lobectomy are preferable. From survival curves of groups of different harzad groups,fit in the model and survival rale in the interclass was calculated, Therefore it showed advantages using Cox regression model in multivariate survival analysis: