summary.speff(speff2trial)
summary.speff()所属R语言包：speff2trial
Summarizing results for semiparametric efficient estimation and testing for a 2-sample treatment effect
半参数有效估计和检验结果2样品的治疗效果综述
译者：生物统计家园网 机器人LoveR
描述----------Description----------
summary method for an object of class "speff".
summary类的一个对象的方法“speff”。
用法----------Usage----------
## S3 method for class 'speff':
summary(object,...)
参数----------Arguments----------
参数：object
an object of class "speff".
一个类的对象“speff”。
参数：...
for other methods.
为其他方法。
Details
详细信息----------Details----------
print.summary.speff prints a formatted summary of results. In the initial section, formulas for the optimal selected regression models are printed with pertaining R-squared statistics for each treatment group. Further, an inferential table is produced with point and interval estimates of the treatment effect, standard error estimates, and Wald test p-values using both the naive and covariate-adjusted estimation methods. At least five significant digits are printed.
print.summary.speff打印结果格式化的总结。在初始的部分，为最佳选择的回归模型的公式印有关于每个治疗组的R-平方统计。此外，推理表点和区间估计的天真和协变量调整后的估计方法的治疗效果，标准误差估计，Wald检验的P值。至少有五个重要的数字印刷。
值----------Value----------
A list with the following components: <table summary="R valueblock"> <tr valign="top"><td>tab</td> <td> inferential table for the treatment effect.</td></tr> <tr valign="top"><td>method</td> <td> search technique employed in the model selection procedure.</td></tr> <tr valign="top"><td>rsq</td> <td> a numeric vector of the R-squared statistics for the optimal selected regression models predicting the study endpoint.</td></tr> <tr valign="top"><td>formula</td> <td> a list with components control and treatment containing formula objects for the optimal selected regression models.</td></tr> <tr valign="top"><td>predicted</td> <td> a logical vector; if TRUE, the built-in model selection procedure was employed for prediction of the study endpoint in the control and treatment group, respectively.</td></tr> </table>
有以下组件的列表：<table summary="R valueblock"> <tr valign="top"> <TD> tab </ TD> <TD>推理表中的治疗效果。</ TD> </ TR> <tr valign="top"> <TD>method </ TD> <TD>搜索技术在模型中选择程序。</ TD> </ TR> <TR VALIGN =“ “> <TD> rsq </ TD> <td>一个数值向量的R-平方的最佳选择回归模型预测研究终点的统计数据。</ TD> </ TR> <TR VALIGN =”顶“<TD> formula </ TD> <td>一个组件列表control和treatment的最佳选择回归模型的公式对象。</ TD> </ TR > <tr valign="top"> <TD> predicted </ TD> <td>一个逻辑向量;如果TRUE，内置模型的选择过程中的预测研究终点在控制和治疗组，分别。</ TD> </ TR> </ TABLE>
参见----------See Also----------
speff
speff
实例----------Examples----------
### from the example for 'speff':[＃＃例如speff“：]
fit1 <- speff(cd496 ~ age+wtkg+hemo+homo+drugs+karnof+oprior+preanti+
race+gender+str2+strat+symptom+cd40+cd420+cd80+cd820+offtrt,
postrandom=c("cd420","cd820","offtrt"), data=ACTG175, trt.id="treat")
summary(fit1)
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 14:57:12
