sampleSize.randomized(sizepower)
sampleSize.randomized()所属R语言包：sizepower
Sample Size Calculation for Completely Randomized Treatment-Control Designs in Microarray Studies
完全随机的待遇控制芯片研究设计样本大小计算
译者：生物统计家园网 机器人LoveR
描述----------Description----------
For any specified power, this routine computes the required sample size n for completely randomized designs in which differential expression between n treatment units and n control units is of interest. The total number of experimental units for the study is 2n.
对于任何指定的电源，日常计算所需的样本大小n在n处理单位和n控制单元之间的差为完全随机设计的利益表达。研究的试点单位总数是2n。
用法----------Usage----------
sampleSize.randomized(ER0, G0, power, absMu1, sigmad)
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：power
specified power level for an individual gene, which represents the expected proportion of differentially expressed genes that will be declared as such by the tests.
指定一个单独的基因，它代表了预期的比例差异表达的基因测试将被宣布为等功率水平。
参数：absMu1
absolute mean difference in log-expression between treatment and control conditions as postulated under the alternative hypothesis H1.
在log中表达的平均绝对差异治疗和控制条件下替代假说H1假设。
参数：sigmad
anticipated standard deviation of the difference in log-expression between treatment and control conditions. The relation between the standard deviation of the difference (sigmad) and the experimental error standard deviation (sigma) is sigmad=sqrt(2)/sigma.
预期之间的治疗和控制条件的log表达差异的标准偏差。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。
值----------Value----------
参数：n
sample size for each group.
每个组的样本大小。
参数：d
statistical difference between treatment and control conditions under H1 (i.e. d=absMu1/sigmad).
根据上半年的治疗和控制条件之间的统计学差异（即d=absMu1/sigmad）。
注意----------Note----------
Examples and explainations can be found in http://www.biostat.harvard.edu/people/faculty/mltlee/pdf/Web-sampsize-trt-cont-050511r.pdf.
例子和解释相关可以发现在http://www.biostat.harvard.edu/people/faculty/mltlee/pdf/Web-sampsize-trt-cont-050511r.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, power.multi, sampleSize.matched
power.randomized，power.matched，power.multi，sampleSize.matched
举例----------Examples----------
sampleSize.randomized(ER0=1, G0=2000, power=0.9, absMu1=1, sigmad=0.566)
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 14:25:44
