结论：加速失效时间模型在生存分析领域具有良好的适用性。
Conclusion: the accelerated failure-time model has good applicability in the area of survival analysis.
目的介绍生存分析中解释变异度量及其应用。
Objective To introduce explained variation and its application in survival analysis.
方法采用多因素分析的方法研究影响生存时间的因素。
Methods: to study factors of influence survival time with multivariate analysis.
单因素分析表明：临床分期、肿瘤大小是局部晚期乳腺癌的生存指标。
Univariate analysis found that the size of tumor, TNM stage were related to survival rates.
目的探讨BP神经在生存分析中的应用。
Objective To explore the application of BP neural network in the survival analysis.
采用荟萃分析精确计算了患者的生存率。
Patient actuarial survival was determined by Kaplan-Meier analysis.
主要终点指标为总生存期，资料分析采用意向处理分析。
The primary endpoint was overall survival, and analysis was done by intention to treat.
主要终点指标为总生存期，资料分析采用意向处理分析。
The primary endpoint was overall survival, and analysis was done by intention to treat.
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