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关 键 词:pass怎么用
行 业:IT 软件 实用工具软件
发布时间:2021-12-27
北京天演融智软件有限公司(科学软件网)前身是北京世纪天演科技有限公司,成立于2001年,专注为国内高校、科研院所和以研发为主的企事业单位提供科研软件和服务的国家。
Proportions
GEE Tests for Multiple Proportions in a Cluster-Randomized Design
GEE Tests for Two Proportions in a Split-Mouth Design
GEE Tests for the Slope of Two Groups in a Repeated Measures Design (Binary Outcome)
GEE Tests for the TAD of Two Groups in a Repeated Measures Design (Binary Outcome)
GEE Tests for the TAD of Multiple Groups in a Repeated Measures Design (Binary Outcome)
Rates and Counts
GEE Tests for Multiple Poisson Rates in a Cluster-Randomized Design
GEE Tests for the Slope of Two Groups in a Repeated Measures Design (Count Outcome)
GEE Tests for the Slope of Multiple Groups in a Repeated Measures Design (Count Outcome)
GEE Tests for the TAD of Two Groups in a Repeated Measures Design (Count Outcome)
GEE Tests for the TAD of Multiple Groups in a Repeated Measures Design (Count Outcome)
PASS(Power Analysis and Sample Size)是用于效能分析和样本量估计的统计软件包,是市场研究中好的效能检验的软件。它能对数十种统计学检验条件下的检验效能和样本含量进行估计,主要包括区间估计、均数比较、率的比较、相关与回归分析和病例随访资料分析等情形。该软件界面友好,功能齐全,操作简便。用户不需要精通统计学知识,只要确定研究设计方案,并提供相关信息,就可通过简单的菜单操作,估计出检验效能和样本含量。
样本大小和功能
PASS软件为超过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。
Means
Confidence Intervals for One Mean
Confidence Intervals for One Mean with Tolerance Probability
Confidence Intervals for One Mean in a Stratified Design
Confidence Intervals for One Mean in a Cluster-Randomized Design
Confidence Intervals for One Mean in a Stratified Cluster-Randomized Design
Confidence Intervals for Paired Means
Confidence Intervals for Paired Means with Tolerance Probability
Confidence Intervals for the Difference Between Two Means
Confidence Intervals for the Difference Between Two Means with Tolerance Probability
Confidence Intervals for One-Way Repeated Measures Contrasts
Percentiles
Confidence Intervals for a Percentile of a Normal Distribution
Confidence Intervals for an Exponential Lifetime Percentile
Proportions
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)
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