power.multi(sizepower)
power.multi()所属R语言包：sizepower
Power Calculations for Multiple Treatments Design with an Isolated Treatment Effect in Microarray Studies
多种治疗与隔离治疗效果在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----------
Assume numTrt treatment conditions are being studied in either a completely randomized or randomized block design. Under the alternative hypothesis H1, one treatment is distinguished from the other numTrt - 1 treatments by exhibiting differential expression for the gene. This computer routine calculates the individual power value for the design. This power value is the expected fraction of truly differentially expressed genes that will be correctly declared as differentially expressed by the tests.
假设正在在一个完全随机或随机区组设计，研究numTrt治疗条件。根据替代假说H1，一次治疗是区别于其他numTrt - 1治疗表现出差异表达的基因。这台计算机程序计算设计的个人权力的价值。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.multi(ER0, G0, numTrt, absMu1, sigma, 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：numTrt
total number of treatment conditions.
总数的治疗条件。
参数：absMu1
the absolute difference in expression between the distinguished treatment and the other treatments on the log-intensity scale.
在log强度规模的尊贵待遇和其他治疗之间的绝对差异表达。
参数：sigma
anticipated experimental error standard deviation of the difference in log-expression between treatments.
预计实验误差标准偏差在处理间差异表达log。
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-isolated050510.pdf.
例子和解释相关可以发现在http://www.biostat.harvard.edu/people/faculty/mltlee/pdf/Web-power-isolated050510.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.matched, sampleSize.randomized, sampleSize.matched
power.randomized，power.matched，sampleSize.randomized，sampleSize.matched
举例----------Examples----------
power.multi(ER0=2, G0=10000, numTrt=6, absMu1=0.585, sigma=0.3, n=8)
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。
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发表于 2012-2-26 14:25:20
