SimComp-package(SimComp)
SimComp-package()所属R语言包：SimComp
Simultaneous Comparisons for Multiple Endpoints
同时比较多个端点
译者：生物统计家园网 机器人LoveR
描述----------Description----------
This package provides simultaneous tests and confidence intervals for one-way experimental designs with one or many normally distributed, primary response variables (endpoints). Means of several groups or dose levels can be compared
这个包提供了同时检验和置信区间为单向实验设计与一个或多个正态分布的，主要反应变量（终点）。可以比较几组或剂量水平的途径
by arbitrary contrasts, like the Dunnett or the Tukey test,
任意的对比，像邓尼特或Tukey检验，
for balanced or unbalanced sample sizes,
平衡或不平衡的样本量，
for a single endpoint or for many endpoints simultaneously,
一个单一的端点，或同时为许多个端点，
for homogeneous or heterogeneous variances/ covariance matrices of the groups, and
同构或异构的方差/协方差矩阵的群体，
in terms of differences or ratios.
方面的差异或比率。
Exact or approximate multivariate t-distributions, respectively, are used for quantiles or p-values.
精确或近似的多元t分布，分别用于位数或p值。
For example, the well-known conventional all-pair comparison of Tukey (1953) can be performed by specifying only a single endpoint and homogeneous (co-)variances. On the other hand, it's also possible to do the same, but for many endpoints simultaneously, with heterogeneous covariance matrices and in terms of ratios.
例如，公知的常规全成对比较以Tukey（1953），可以通过仅指定一个单一的端点和均质的（共）方差。另一方面，它也可以做同样的，但同时许多个端点，异构的协方差矩阵和的比例。
For multiple comparisons of means of heteroscedastic data, see Hasler and Hothorn (2008). The test procedure for multiple endpoints is described by Hasler and Hothorn (2011).
对于异方差数据的多重比较，请参阅哈斯勒和Hothorn的（2008年）。多个端点描述的测试程序哈斯勒和Hothorn（2011）。
Details
详细信息----------Details----------
</table>
</ TABLE>
Index:
指数：
SimCiDiff: Simultaneous Confidence Intervals for Differences of Means of Multiple Endpoints
SimCiDiff：同时多个端点的方式差异的置信区间
SimCiRat: Simultaneous Confidence Intervals for Ratios of Means of Multiple Endpoints
SimCiRat：同时置信区间的比率手段的多个端点
SimTestDiff: Simultaneous Tests for Differences of Means of Multiple Endpoints
SimTestDiff：同时测试多个端点的手段差异
SimTestRat: Simultaneous Tests for Ratios of Means of Multiple Endpoints
SimTestRat：同时测试为利用多个端点的比率
coagulation: Data from a clinical study of three sets of extracorporeal circulation in heart-lung machines
coagulation：三组体外循环心脏，肺机的临床研究数据
ermvnorm: Multivariate Normal Random Numbers with Exact Parameters </ul>
ermvnorm：多元正态随机数的确切参数</ ul>
（作者）----------Author(s)----------
Mario Hasler
Maintainer: Mario Hasler <hasler@email.uni-kiel.de>
参考文献----------References----------
Hasler, M. and Hothorn, L.A. (2011): A Dunnett-type procedure for multiple endpoints. The International Journal of Biostatistics 7, Article 3.
Hasler, M. and Hothorn, L.A. (2008): Multiple contrast tests in the presence of heteroscedasticity. Biometrical Journal 50, 793-800.
Dilba, G. et al. (2006): Simultaneous confidence sets and confidence intervals for multiple ratios. Journal of Statistical Planning and Inference 136, 2640-2658.
参见----------See Also----------
mratios
mratios
实例----------Examples----------
# Example 1:[实施例1：]
# A Dunnett-test for the groups B and H against the standard S, on[B组和H对阿邓尼特测试标准的S，在]
# the (single) endpoint Thromb.count, assuming unequal variances for[（单）的端点Thromb.count，异方差假设]
# the groups. This is the well-known Dunnett-test but in the[的基团。这是众所周知的Dunnett法测试，但在]
# presence of heteroscedasticity.[存在异方差。]
data(coagulation)
comp1 <- SimTestDiff(data=coagulation, grp="Group", resp="Thromb.count", type="Dunnett",
base=3, alternative="greater", covar.equal=FALSE)
comp1
# Example 2:[实施例2：]
# A Dunnett-test for the groups B and H against the standard S,[一个邓尼特测试对标准的S，B组和H]
# simultaneously on all endpoints, assuming unequal covariance[同时在所有端点，假设不平等的协方差]
# matrices for the groups.[矩阵的群体。]
data(coagulation)
comp2 <- SimTestDiff(data=coagulation, grp="Group", resp=c("Thromb.count","ADP","TRAP"), type="Dunnett",
base=3, alternative="greater", covar.equal=FALSE)
summary(comp2)
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注：
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发表于 2012-9-30 02:33:39
