estimTdiff(smoothSurv)
estimTdiff()所属R语言包：smoothSurv
Estimate expectation of survival times and their difference from the results given by survival regression function
从给出的结果由生存回归函数估计预期存活时间和它们的区别
译者：生物统计家园网 机器人LoveR
描述----------Description----------
Estimate expectation of survival times and their difference from the results given by survival regression function
从给出的结果由生存回归函数估计预期存活时间和它们的区别
用法----------Usage----------
estimTdiff(x, ...)
## S3 method for class 'smoothSurvReg'
estimTdiff(x, cov1, cov2, logscale.cov1, logscale.cov2,
time0 = 0, conf.level=0.95, ...)
参数----------Arguments----------
参数：x
Object of an appropriate class.
一个合适的类的对象。
参数：cov1
Vector or matrix with covariates values for which the expectations of the first survival time are to be computed. It must be a matrix with as many columns as is the number of covariates (interactions included, intercept excluded) or the vector of length equal to the number of covariates (interactions included, intercept excluded). If matrix is supplied then is assumed that each row of this matrix gives one covariate combination for the first survival time. Intercept is not to be included in cov1. If cov1 is missing an expectation of a survivor time for the value of a covariate vector equal to zero is computed. If there is only intercept in the model, this parameter must be always missing.
向量或矩阵与协变量值的期望的第一生存时间是要计算。它必须是一个矩阵，多列数的协变量（包括相互作用，拦截除外）或向量的长度等于协变量的数量（包括相互作用，拦截除外）。如果矩阵被供给，则假定此矩阵的每一行给出了一个协变量的组合为第一生存时间。拦截是不被包含在cov1。如果cov1缺少一个协变量矢量的值等于零的一个期望的幸存者时间被计算出来。如果只拦截在模型中，这个参数就必须始终不见。
参数：cov2
Vector or matrix with covariate values for which the expectations of the second survival time are to be computed. It must be of same size as cov1.
与协变量值的期望的第二生存时间是要计算的矢量或矩阵。它必须是的大小相同cov1。
参数：logscale.cov1
Vector or matrix with covariate values for the expression of log-scale (if this depended on covariates) for the first survival time. It can be omitted in the case that log-scale was common for all observations.
与第一生存时间log规模的表达（如果这取决于协变量）的协变量值的向量或矩阵。可以省略的情况下，该log规模是共同的所有观测值。
参数：logscale.cov2
Vector or matrix with covariate values for the expression of log-scale (if this depended on covariates) for the second survival time. It can be omitted in the case that log-scale was common for all observations.
与第二生存时间log规模的表达（如果这取决于协变量）的协变量值的向量或矩阵。可以省略的情况下，该log规模是共同的所有观测值。
参数：time0
Starting time of the follow-up as used in the model. I.e. the model is assumed to be log(T-time0) = x'beta + sigma*epsilon
后续的模型中使用的开始时间。即模型被假定为log(T-time0) = x'beta + sigma*epsilon
参数：conf.level
confidence level of produced confidence intervals.
置信水平产生的置信区间。
参数：...
who knows
谁知道
值----------Value----------
A data.frame with columns named “ET1”, “sd.ET1”, “ET1.lower”, “ET1.upper”, 'ET2”, “sd.ET2”, “ET2.lower”, “ET2.upper”, “diffT”, “sd.diffT”, “diffT.lower”, “diffT.upper” giving the estimates of expected values of the survival times for covariate values given in rows of cov1 and logscale.cov1, their standard errors, estimates of expected values of survival times for covariate values given in rows of cov2 and logscale.cov2, their standard errors and estimates of a difference of expected values of survival times for covariate values given in rows of cov1, logscale.cov1 and cov2, logscale.cov2, their standard errors and confidence intervals.
Adata.frame列名为“ET1”中，“sd.ET1”，“ET1.lower”中，“ET1.upper”，的ET2“，”sd.ET2“，”ET2。下“，”ET2.upper“，”diffT“中，”sd.diffT“，”diffT.lower“，”diffT.upper“给予协变量中给出的值的预期值的生存时间的估计行的cov1和logscale.cov1，其标准误差，估计行cov2和logscale.cov2，他们的标准误差和估计的协变量值预期值的生存时间的不同行cov1，logscale.cov1和cov2，logscale.cov2，他们的标准误差和置信区间中存活时间的协变量值的预期值。
（作者）----------Author(s)----------
Arno拧t Kom谩rek <a href="mailto:arnost.komarek[AT]mff.cuni.cz">arnost.komarek[AT]mff.cuni.cz</a>
参见----------See Also----------
smoothSurvReg
smoothSurvReg
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 2012-9-30 10:31:32
