1·Objective To explore the application of BP neural network in the survival analysis.
目的探讨BP神经在生存分析中的应用。
2·Objective To introduce explained variation and its application in survival analysis.
目的介绍生存分析中解释变异度量及其应用。
3·Bivariate survival analysis has received substantial attentions due to its wide applications.
双变数存活分析已被广泛应用于生物医学的研究。
4·Made a analysis of risk factor of stoma fistula, infection and death. and a survival analysis.
对并发症吻合口瘘、术区感染、死亡的危险因素作单因素及多因素分析。
5·They may also be asked to conduct categorical data analysis, robust estimation or survival analysis.
他们也可能会要求进行分类数据分析，稳健估计或生存分析。
6·Conclusion: the accelerated failure-time model has good applicability in the area of survival analysis.
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。
7·Survival analysis with the survival length as reaction variable can offer a reasonable and effective analytic method.
以生存时间为反应变量的生存分析为这项研究提供了合理有效的分析方法。
8·A more accurate and unbiased estimation of case fatality for SARS can be obtained with a third method, survival analysis.
一种对SARS病例病死率更准确和广为接受的估计可以用第三种方法即生存分析得到。
9·There are many methods to deal with measuring data in survival analysis. Maximum likelihood estimation is the most popular one.
处理生存分析观测数据使用的参数估计方法有很多，极大似然估计法是最常见的一种估计方法。
10·From the mathematical point of view, survival analysis is a type of statistical analysis towards one or more non-negative random variables.
从数学角度看，这种研究主要是对一个或多个非负随机变量进行统计分析。