print.survfit(survival)
print.survfit()所属R语言包：survival
Print a Short Summary of a Survival Curve
打印生存曲线的简短摘要
译者：生物统计家园网 机器人LoveR
描述----------Description----------
Print number of observations, number of events, the restricted mean survival and its standard error, and the median survival with confidence limits for the median.
打印观察，事件的数量，限制平均存活和标准错误，并与中位数的置信区间的中位生存。
用法----------Usage----------
## S3 method for class 'survfit'
print(x, scale=1, digits = max(options()$digits - 4,3),
print.rmean=getOption("survfit.print.rmean"),
rmean = getOption('survfit.rmean'),...)
参数----------Arguments----------
参数：x
the result of a call to the survfit function.
survfit函数的调用结果。
参数：scale
a numeric value to rescale the survival time, e.g., if the input data to survfit were in days, scale=365 would scale the printout to years.
重新调整存活时间，例如，如果输入数据到survfit天的数值，scale=365将扩展到几年的打印输出。
参数：digits
Number of digits to print
数字打印的数量
参数：print.rmean,rmean
Options for computation and display of the restricted mean.
限制均值的计算和显示选项。
参数：...
for future results
未来的结果
Details
详情----------Details----------
The mean and its variance are based on a truncated estimator. That is, if the last observation(s) is not a death, then the survival curve estimate does not go to zero and the mean is undefined. There are four possible approaches, which are selected by the rmean option. The first is to set the upper limit to a constant, e.g.,rmean=365. In this case the reported mean would be the expected number of days, out of the first 365, that would be experienced by each group. This is useful if interest focuses on a fixed period. Other options are "none" (no estimate), "common" and "individual". For the last of these, the mean is computed as the area under the curve, over the range from 0 to the maximum observed time for that curve. Since the end point is random, values for different curves are not comparable and the printed standard errors are an underestimate as they do not take into account this random variation. This option is provided mainly for backwards compatability, as this estimate was the default (only) one in earlier releases of the code. The "common" option uses the maximum time for all curves in the object as a common upper limit for the auc calculation.
基于截断估计的均值和方差。也就是说，如果最后的观察（s）是不是死亡，生存曲线估计不会到零，平均是不确定的。有四种可能的方法，这是由rmean选项选择。首先是恒定的，例如，rmean=365设置上限。在这种情况下，报告的平均预期的天数，出了第一个365，将各组经历。这是有用的，如果利率固定期间的重点。其他选项"none"（估计），"common"和"individual"。对于这些，平均曲线下的面积计算，超过范围从0到最大的曲线观察时间。由于终点是随机的，不同的曲线值没有可比性和印制的标准误差是低估，因为他们不考虑这个随机变化。此选项主要用于提供向后兼容性，这估计是默认（只），在早期版本的代码。 "common"选项使用在一个共同的AUC计算上限为对象的所有曲线的最大时间。
The median and its confidence interval are defined by drawing a horizontal line at 0.5 on the plot of the survival curve and its confidence bands. The intersection of the line with the lower CI band defines the lower limit for the median's interval, and similarly for the upper band. If any of the intersections is not a point, then we use the smallest point of intersection, e.g., if the survival curve were exactly equal to 0.5 over an interval.
中位数和其置信区间定义在0.5存活曲线及其置信带的图画一条水平线。低CI为带线的交点定义为中位数的区间，同样为上带的下限。如果有任何的交集，是不是一个点，然后我们使用的交集，例如最小的点，如果生存曲线是完全相等的时间间隔为0.5。
值----------Value----------
x, with the invisible flag set to prevent printing. (The default for all print functions in R is to return the object passed to them; print.survfit follows the pattern. If you want to capture these printed results for further processing, see the table component of summary.survfit.)
X，无形的标志设置，以防止打印。 （默认为R中的所有打印功能是返回的对象传递给他们; print.survfit如下的模式，如果你想捕捉这些印刷结果作进一步处理时，看到的tablesummary.survfit了组件。 。）
副作用----------Side Effects----------
he number of observations, the number of events, the median survival with its confidence interval, and optionally the restricted mean survival (rmean) and its standard error, are printed. If there are multiple curves, there is one line of output for each.
他的若干意见，事件的数量，中位生存期，其置信区间，并有选择地限制平均存活（rmean）和标准错误打印。如果有多个曲线，有一个为每个输出线。
参考文献----------References----------
Survival Analysis. New York:Wiley, p 71.
参见----------See Also----------
summary.survfit.
summary.survfit。
转载请注明:出自 生物统计家园网(http://www.biostatistic.net)。
注：
注1：为了方便大家学习，本文档为生物统计家园网机器人LoveR翻译而成，仅供个人R语言学习参考使用，生物统计家园保留版权。
注2：由于是机器人自动翻译，难免有不准确之处，使用时仔细对照中、英文内容进行反复理解，可以帮助R语言的学习。
注3：如遇到不准确之处，请在本贴的后面进行回帖，我们会逐渐进行修订。
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发表于 2012-2-16 17:43:48
