power.matched(sizepower)
power.matched()所属R语言包：sizepower
Power Calculations for Matched-Pairs Designs in Microarray Studies
匹配对芯片研究设计的功率计算
译者：生物统计家园网 机器人LoveR
描述----------Description----------
This routine computes the individual power value for a matched-pairs design having n treatment units and n matched control units. This power value is the expected fraction of truly differentially expressed genes that will be correctly declared as differentially expressed by the tests.
这个例程一个匹配的对n处理单位和n匹配的控制单元的设计计算个人的力量值。这个功率值是真正差异表达的基因差异表达的测试将正确声明的预期分数。
用法----------Usage----------
power.matched(ER0, G0, absMu1, sigmad, n)
参数----------Arguments----------
参数：ER0
mean number of false positives.
平均误报数量。
参数：G0
anticipated number of genes in the experiment that are not differentially expressed.
预计数量在实验都没有差异表达的基因。
参数：absMu1
absoulte mean difference in log-expression between treatment and control conditions as postulated under the alternative hypothesis H1.
absoulte意味着在log中表达的差异之间的治疗和控制的情况下替代假说H1假设。
参数：sigmad
anticipated standard deviation of the difference in log-expression between matched treatment and control units. The relation between the standard deviation of the difference (sigmad) and the experimental error standard deviation (sigma) is sigmad=sqrt(2)/sigma.
预计在log表达匹配的治疗和控制单元之间的差异的标准偏差。之间的差异的标准偏差（sigmad）和实验误差的标准偏差（sigma）sigmad=sqrt(2)/sigma的关系。
参数：n
the sample size for each group.
为每个组的样本大小。
值----------Value----------
参数：power
power.
权力。
参数：psi1
non-centrality parameter.
非核心参数。
注意----------Note----------
Examples and explainations can be found in http://www.biostat.harvard.edu/people/faculty/mltlee/pdf/Web-power-matched050510.pdf.
例子和解释相关可以发现在http://www.biostat.harvard.edu/people/faculty/mltlee/pdf/Web-power-matched050510.pdf。
作者（S）----------Author(s)----------
Weiliang Qiu (<a href="mailto:weiliang.qiu@gmail.com">weiliang.qiu@gmail.com</a>),
Mei-Ling Ting Lee (<a href="mailto:meilinglee@sph.osu.edu">meilinglee@sph.osu.edu</a>),
George Alex Whitmore (<a href="mailto:george.whitmore@mcgill.ca">george.whitmore@mcgill.ca</a>)
参考文献----------References----------
Analysis of Microarray Gene Expression Data. Kluwer Academic Publishers, ISBN 0-7923-7087-2.
Power and sample size for DNA microarray studies. Statistics in Medicine, 21:3543-3570.
参见----------See Also----------
power.randomized, power.multi, sampleSize.randomized, sampleSize.matched
power.randomized，power.multi，sampleSize.randomized，sampleSize.matched
举例----------Examples----------
power.matched(ER0=2, G0=5000, absMu1=1, sigmad=0.4243, n=4)
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 14:25:12
