survivAURC(RCASPAR)
survivAURC()所属R语言包：RCASPAR
A function that calculates the area under a curve constructed from plotting the area under a ROC curve at the corresponding time point at which it was generated.
一个函数，计算图在相应的时间点，在它产生的ROC曲线下的面积，构造了一个曲线下的面积。
译者：生物统计家园网 机器人LoveR
描述----------Description----------
This function plots the individual area under the ROC curves of different time points against the time at which they were evaluated, and calculates the area under that curve.
此功能图，个别区域根据不同的时间对他们进行评估的时间点ROC曲线，并根据该曲线的面积计算。
用法----------Usage----------
survivAURC(Stime, status, marker, entry = NULL, cut.values = NULL, time.max = 20, by = 1)
参数----------Arguments----------
参数：Stime
The observed survival times of the patients.
观察病人的生存时间。
参数：status
The censoring status of the patient. 1 for a censored patient, and 0 for a patient who has an event.
审查病人的状态。 1截断病人，病人事件0。
参数：marker
The predicted survival time of the patients.
预测病人的存活时间。
参数：entry
The time of entry of the patients, set to NULL by default.
默认情况下设置为NULL的患者，进入的时间。
参数：cut.values
The cut off values for which the ROC curves are to be constructed.
关闭值ROC曲线是将建造的切割。
参数：time.max
The maximum time point for which the area under a ROC curve is to be plotted.
绘制ROC曲线下的面积是最大的时间点。
参数：by
The step size between every ROC curve estimated and the next.
每中华民国估计曲线和未来之间的步长。
Details
详情----------Details----------
The calculations for the Area under the ROC curves at each time point is done according to Patrick Heagerty's survivalROC function in the survivalROC package in R. It is a value indicating the performance of the predictor when used on the results of both functions STpredictor.BLH and STpredictor.xv.BLH.
ROC曲线下面积在每个时间点的计算是根据到帕特里克Heagerty的在河survivalROC包survivalROC功能，这是一个值，表明预测的性能，使用时，这两个函数STpredictor.BLH结果STpredictor.xv.BLH。
值----------Value----------
参数： AUC
The value of the area under the curve generated
价值生成的曲线下面积
参数：AUeachROC
A vector with the values of the area under the individual ROC curves
个人ROC曲线下的面积值的向量
A plot of the Area under the ROC curves against their corresponding time points.
图对他们的相应时间点的ROC曲线下的面积。
作者（S）----------Author(s)----------
Douaa Mugahid
参考文献----------References----------
参见----------See Also----------
survivROC
survivROC
举例----------Examples----------
True_STs <- c(1.416667,2.75,2.416667,2.583333,2.166667,2.5,2.5,1.833333,1.25,0.6666667,1,6.583333,6.5,6.666667,2.75,1.666667,1.166667,2.833333,3.583333,6.166667,6.166667,
3.416667,6.083333,1.833333,5.583333,0.75,5.75,5.5,0.5833333,7.666667,5,2.833333,1.333333,5.083333,0.8333333,1.5,4.75,3.416667,4.666667,1.916667,4.666667,7.416667,0.9166667,
1.083333,3.75,3.25,3,2.416667,2.75,2.5,2.666667,4.5,4.416667,1.5,0.8333333,3.166667,3.833333,3.833333,0.4166667,3.333333,2.75,3.083333,0.3333333,0.25,0.6666667,1.833333,
2.333333,3.416667,3.416667,3,0.6666667,0.75,2.166667,1,1.416667,1.333333,1.166667,1.166667,0.4166667,1.25,1.166667,1.083333)
Predicted_STs <- c(6.030591,6.014457,3.545584,5.414229,6.41576,9.393992,5.542331,6.890859,8.090213,4.98545,2.77357,6.275699,9.163978,7.511511,9.531218,7.63715,10.08977,
11.12364,3.982502,5.441881,12.61404,12.21851,17.05850,12.78141,16.22795,21.48544,6.281354,13.83925,8.859929,6.104142,8.255909,2.335526,6.564962,2.335761,9.33772,12.62540,
10.97276,15.63089,8.01967,5.817267,5.59897,4.340784,32.40319,33.74123,27.45024,26.31024,26.88833,24.34707,32.06541,38.90473,17.37102,15.11059,8.772035,14.24816,7.852889,
7.79996,5.601459,2.802408,35.77047,24.34717,30.65796,25.93927,20.64544,22.04807,19.15037,23.83430,1.876557,3.937208,6.526354,5.886377,9.301074,12.4657,14.49783,15.41502,
2.860931,2.541947,4.543111,4.525553,4.148272,3.986912,6.246755,6.89523)
censored <- c(0,1,1,1,1,0,1,1,0,1,0,1,1,1,1,0,0,0,0,1,1,1,1,0,1,0,1,1,0,1,1,0,0,1,0,0,1,0,1,0,1,1,0,0,1,1,1,0,1,1,1,1,1,0,1,1,1,1,0,1,1,1,1,0,0,0,1,1,1,1,0,0,1,0,1,1,1,1,1,1,1,
1)
survivAURC(Stime=True_STs,status=censored, marker=Predicted_STs,time.max=5)
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。
|
发表于 2012-2-26 12:07:57
