optimalDesign(trex)
optimalDesign()所属R语言包：trex
Optimal design for a two-stage case-control study for evaluating rare genetic variants
优化设计两个阶段的病例对照研究，以评估罕见的遗传变异
译者：生物统计家园网 机器人LoveR
描述----------Description----------
Find a series of potential designs, including and an optimal design for a two-stage case-control study for evaluating rare genetic variants
罕见的遗传性变异评估一系列潜在的设计，包括两个阶段的病例对照研究和优化设计
用法----------Usage----------
optimalDesign(probCarrier, or, alpha, power, maxThreshold = 50)
参数----------Arguments----------
参数：probCarrier
Probability that a person is a carrier of any of the rare genetic variants
概率，一个人是任何一种罕见的遗传性变异的向量
参数：or
Odds ratio of disease for carriers of any of the rare genetic variants
赔率比为运营商的罕见的遗传性变异的疾病
参数：alpha
Type-I Error
I型错误
参数：power
Power of the two-stage design
的两阶段设计的电源
参数：maxThreshold
Maximum allowable threshold over all potential designs
对所有潜在的设计允许的最大阈值
值----------Value----------
A list, which contains the input parameters and a data.frame with the following columns: <table summary="R valueblock"> <tr valign="top"><td>Ntotal</td> <td> total number of cases and controls, assuming Ntotal/2 = Ncases=Ncontrols</td></tr> <tr valign="top"><td>Power.cond</td> <td> conditional power, conditional on continuing to stage-2</td></tr> <tr valign="top"><td>Ncase1</td> <td> number of cases for stage-1</td></tr> <tr valign="top"><td>Threshold</td> <td> continuation threshold at stage-1 (Ncarriers in stage-1 >= threshold)</td></tr> <tr valign="top"><td>ProbStopNull</td> <td> probability of stopping at stage-1 under the null (OR=1)</td></tr> <tr valign="top"><td>ProbStopAlt</td> <td> probability of stopping at stage-1 under alternative (OR = input or)</td></tr> <tr valign="top"><td>ESN.Null</td> <td> expected sample size under the null</td></tr> <tr valign="top"><td>ESN.Alt</td> <td> expected sample size under the alternative specified OR</td></tr> <tr valign="top"><td>Optimal</td> <td> TRUE for the design with minimum ESN.Null</td></tr> </table>
一个列表，其中包含以下几列：<table summary="R valueblock"> <tr valign="top"> <TD>Ntotal</ TD> <TD>的输入参数和数据框病例组和对照组的总人数，假设n总/ 2 = Ncases = Ncontrols </ TD> </ TR> <tr valign="top"> <TD> Power.cond </ TD> <TD>条件电源，有条件的继续到阶段2 </ TD> </ TR> <tr valign="top"> <TD>Ncase1 </ TD> <TD>-1阶段的情况数</ TD> </ TR> <tr valign="top"> <TD> Threshold</ TD> <TD>继续阈值在阶段1（Ncarriers在阶段1> =阈值）</ TD> </ TR> <tr valign="top"> <TD> ProbStopNull </ TD> <TD>空停在阶段1的概率（OR = 1）</ TD> </ TR> <TR VALIGN = “顶”> <TD> ProbStopAlt</ TD> <TD>停在阶段1的概率下的选择（OR =输入或）</ TD> </ TR> <tr valign="top"> <TD>ESN.Null </ TD> <TD>预期的样本量下的空</ TD> </ TR> <tr valign="top"> <TD> ESN.Alt</ TD> < TD>根据指定的替代或预期的样本量</ TD> </ TR> <tr valign="top"> <TD> Optimal</ TD> <TD>的以最小的ESN.Null设计为TRUE， </ TD> </ TR> </ TABLE>
参考文献----------References----------
Schaid DJ, Sinnwell JP, "Two-Stage Case-Control Designs for Rare Genetic Variants". Hum Genetics. In Press.
实例----------Examples----------
## Example with pr(carrier)=.05, OR=5, alpha=.05, power=.9[＃示例，PR（向量）= 0.05，OR = 5，α= 0.05，功率= 0.9]
design.pr05 <- optimalDesign(probCarrier=.05, or=5, alpha=.05, power=.9)
design.pr05
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 2012-10-1 11:55:40
