Estimating population distributions when some data are below a limit of detection by using a reverse Kaplan-Meier estimator. Epidemiology 21, S64eS70... BW Gillespie,Q Chen,H Reichert,... - 《Epidemiology》 被引量: 64发表: 2010年 Bayesian Nonparametric Survival Analysis: A Comparison of the...
在SPSS中如何操作Reverse Kaplan-Meier法 全部评论(1) 嘎嘎嘎 一般用R语言来做,可以试试以下语法 #加载所需R包 library(survival) #加载R包自带数据 data(lung) #查看数据概况 head(lung) #应用K-M法计算中位生存时间,status=1为删失,=2为死亡 km=survfit(Surv(time,status==2)~1,data=lung) #应用rev...
a, Kaplan–Meier survival curves in each group (n = 8–9). b, Representative images of mice in each group after 7 months of treatment. c, Mean frailty index scores in each group after 4 months of treatment (n = 10). ...
Estimating Population Distributions When Some Data Are Below a Limit of Detection by Using a Reverse Kaplan-Meier Estimator Background: Data with some values below a limit of detection (LOD) can be analyzed using methods of survival analysis for left-censored data. The reverse K... BW ...
Mean survival time of prostheses (with revision surgery as the end point) was assessed with the Kaplan–Meier estimator. The level of significance was set at p < 0.05. 7. Results 7.1. Clinical Results At final follow-up, the mean CS improved significantly from 20.0 (range 0–41) points ...
Kaplan–Meier graphs and the Mantel–Cox log-rank test were used to look at the incidence of diabetes among treated mice. Data from FACS analysis were compared using a two-way ANOVA test. Significance was assumed if the p < 0.05. GraphPad Prism 10 software was used for the calculations. ...