摘要
生存率是医学随访研究资料分析中常用的指标,例如适用于小样本资料的Kaplan-Meier乘积限估计和大样本资料的寿命表法生存率估计。本文对生存率置信区间的估计方法进行了讨论。主要介绍了五种置信区间的估计方法:经典法(基于Greenwood方差公式)、校正法、反正旋转换法、log(-log)转换法及logit转换法。文中给出了两个实例,并就生存率95%置信区间的估计做了详细介绍,还进一步讨论了它们在小样本和大样本随访资料分析中的特点和应用。
Descriptive analysis on medical follow-up data often involves
estimation of survival rates, such as Kaplan-Meier product limit
estimator or life table survival rate for small or large scale data
sets,respectively.Five methods for estimating the confidence
intervals(CI)of survival rates were described.These methods for
estimation of intervals were the classic(based on Greenwood′s
for-mula),correctness,arcsine transfomation,log(-log)transfomation
and logit transfomation.Two examples were described in detailed for
the calculation of 95%confidence intervals.
出处
《中华流行病学杂志》
CAS
CSCD
北大核心
1995年第5期306-309,共4页
Chinese Journal of Epidemiology
关键词
生存率
置信区间
寿命表
Survival rate
Confidence intervals Life table estimator