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。
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。
The survival analysis indicated that the factors influencing prognosis include tumor diameter, serous coat invasion and lymph node metastasis.
生存分析提示肿瘤直径、浸润深度及淋巴结转移影响患者预后。
In a survival analysis we calculated hazard ratios for diagnosis of cancer, adjusted for baseline characteristics of the two groups using Cox regression.
在一项生存分析中，通过COX回归分析校正了两组的基线特征，计算出患癌症的风险系数。
Objective Propose a method that combines the propensity score approach and non-parametric survival analysis for hazard ratio estimation in non-randomized medical researches.
目的提出一种适用于非随机化医学研究的，结合倾向指数与非参数生存分析估计风险比的方法。
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。
Survival analysis is a subject to evaluate and forecast biologic survival time that can be generally defined as the duration of an appointed state.
生存时间可以广泛地定义为一给定状态的持续时间，生存分析则是对生物的生存时间进行评估和预测的学科。
Objective: Survival analysis was applied to describe the cure rate of pulmonary tuberculosis dynamically and screening the related influential factors.
目的：将生存分析方法应用于肺结核病治愈率的动态描述及其影响因素分析。
Methods Immunohistochemical SP method was used to detect the expression of HDGF in 158 NSCLC tissues and 12 normal control lung tissues. Survival analysis was further conducted.
方法应用SP法，检测158例手术切除NSCLC及12例正常对照肺组织中HDGF蛋白表达情况，进行生存分析、预后判定。
Methods Immunohistochemical SP method was used to detect the expression of HDGF in 158 NSCLC tissues and 12 normal control lung tissues. Survival analysis was further conducted.
方法应用SP法，检测158例手术切除NSCLC及12例正常对照肺组织中HDGF蛋白表达情况，进行生存分析、预后判定。
应用推荐