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PASS软件为**过740个统计测试和置信区间场景提供样本大小工具-比任何其他样本大小软件工具多一倍以上。每个工具都经过了公开的文章和/或文本的仔细验证。
PASS有完整的文档和博士统计学家的支持。
经过了20多年的精心调整,PASS已成为试验、制药和其他研究领域的样本软件选择。它也成为所有其他需要进行样本量的计算或评估的领域的支柱。
在PASS中获取样本大小
在PASS中,您可以在几个短的步骤中估计一个统计测试或置信区间的样本大小。如果您在任何步骤中都需要,那么可以通过PASS完整的文档,您也可以联系我们的博士统计学家团队获得帮助。
选择一个进程
使用下拉菜单、过程搜索或类别树,查找样本大小过程是很*的。
输入参数值
样本大小工具使用简单,并且为每个选项都有内置的帮助消息。
放大这张信息图,看看通过哪些方法可以帮助您在样本大小的过程工具中输入适当的值。
支持输出
当运行一个PASS程序时,输出窗口中会显示样本大小结果和相应的图。可以在单的窗口中显示样本大小或功率曲线,以便查看或保存。
使用导航树使输出变得简单。输出的格式可以方便地查看、复制、粘贴或保存。可以将多个输出运行发送到输出库,以保存或比较样本大小分析。
System Requirements
Minimum System Requirements for PASS
In order to run PASS , your computer must meet the following minimum standards:
Processor:
450 MHz or faster processor
32-bit (x86) or 64-bit (x64) processor
RAM:
256 MB (512 MB recommended)
Operating Systems:
Windows XP with Service Pack 2 or higher
Windows Vista
Windows 7
Windows 8 and 8.1
Windows 10 or later
Windows Server 2003
Windows Server 2008
Windows Server 2008 R2
Windows Server 2012
Windows Server 2012 R2 or later
Privileges:
Administrative rights required during installation only
Third Party Software:
Microsoft .NET 3.5 SP1 (included with PASS CD, comes pre-installed with Windows 7 and Windows Server 2008 R2, feature activation required on Windows 8, 8.1, 10 and Windows Server 2012 and 2012 R2)
Microsoft Windows Installer 3.1 or higher
Adobe Reader® 7 or higher (required for the Help System only)
Hard Disk Space:
120 MB for PASS (plus space for Microsoft .NET 3.5 SP1 if not already installed)
Printer:
Any Windows-compatible inkjet or laser printer
PASS on a Mac
A Windows emulator (such as Parallels) is required to run PASS on a Mac.
Other Cluster-Randomized Design Scenarios
Tests for Two Proportions in a Stratified Cluster-Randomized Design (Cochran-Mantel-Haenszel Test)
Tests for the Difference Between Two Poisson Rates in a Cluster-Randomized Design with Adjustment for Varying Cluster Sizes
Mixed Models Tests for Two Means in a Cluster-Randomized Design
Other Proportion Tests
Tests for Two Correlated Proportions with Incomplete Observations
Tests for Multiple Proportions in a One-Way Design
Two-Stage Designs for Tests of One Proportion (Simon)
Proportions
Test (Inequality)
Conditional Power and Sample Size Reestimation of Tests for One Proportion
Conditional Power and Sample Size Reestimation of Tests for the Difference Between Two Proportions
Non-Inferiority
Conditional Power and Sample Size Reestimation of Non-Inferiority Tests for One Proportion
Conditional Power and Sample Size Reestimation of Non-Inferiority Tests for Two Proportions
Superiority by a Margin
Conditional Power and Sample Size Reestimation of Superiority by a Margin Tests for One Proportion
Conditional Power and Sample Size Reestimation of Superiority by a Margin Tests for Two Proportions
Intraclass Correlation
Tests for Intraclass Correlation
Confidence Intervals for Intraclass Correlation
Kappa Rater Agreement
Kappa Test for Agreement Between Two Raters
Confidence Intervals for Kappa
Lin’s Concordance Correlation
Lin’s Concordance Correlation Coefficient
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