PASS 2025版最新更新
我们很高兴地宣布 PASS 2025 现已发布。PASS 2025 增加了 37 个新的样本量程序，并包括各种增强功能。新程序包括用于 Logrank 型测试 （8）、假设 Andersen-Gill 模型的两个复发事件率的比率 （4）、相对发病率 （2）、两个比例 （5）、仅在一个组中聚集的两组 （4）、历史对照 （3）、泊松率和疫苗功效 （5）、平均值 （3） 和两个相关性 （3）。
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PASS 2025 中的新程序
Logrank-type Tests
- Logrank Tests with Proportional Hazards (Rubinstein and Wu)
- Logrank Tests with Proportional Hazards (Freedman and Wu)
- Logrank Tests with Proportional Hazards (Schoenfeld and Wu)
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- Logrank Tests with Non-Proportional Hazards (Lakatos and Wu)
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- Weighted Logrank Tests with Fleming-Harrington Weights Allowing Delayed Onset (Hasegawa)
- Weighted Logrank Tests with Non-Proportional Hazards (Lakatos and Wu)
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- Logrank Tests for Paired Survival Data
- Kaplan-Meier Tests for Paired Survival Data
The Ratio of Two Recurrent Event Rates Assuming the Andersen-Gill Model
- Tests for the Ratio of Two Recurrent Event Rates Assuming the Andersen-Gill Model
- Non-Inferiority Tests for the Ratio of Two Recurrent Event Rates Assuming the Andersen-Gill Model
- Superiority by a Margin Tests for the Ratio of Two Recurrent Event Rates Assuming the Andersen-Gill Model
- Equivalence Tests for the Ratio of Two Recurrent Event Rates Assuming the Andersen-Gill Model
Relative Incidence
- Tests for Relative Incidence in Self-Controlled Case Series Studies
- Tests for Relative Incidence in Self-Controlled Case Series Studies with Age Intervals
Two Proportions
- Tests for Two Proportions in a Stratified Cluster-Randomized Design (Cochran-Mantel-Haenszel Test)
- Tests for Two Proportions in a Split-Cluster Beta-Binomial Design
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- Superiority by a Margin Tests for the Difference Between Two Correlated Proportions (Conditional McNemar's Test)
- Non-Inferiority Tests for the Difference Between Two Correlated Proportions (Conditional McNemar's Test)
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- Tests for the Matched-Pair Difference of Two Proportions in a Cluster-Randomized Design with Missing Value Adjustment
Two Groups with Clustering in Only One Arm
- Superiority by a Margin Tests for Two Means in a Cluster-Randomized Design with Clustering in Only One Arm
- Equivalence Tests for Two Means in a Cluster-Randomized Design with Clustering in Only One Arm
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- Superiority by a Margin Tests for Two Proportions in a Cluster-Randomized Design with Clustering in Only One Arm
- Equivalence Tests for Two Proportions in a Cluster-Randomized Design with Clustering in Only One Arm
Historical Controls
- Tests for the Difference Between Two Means using Historical Controls
- Tests for the Difference Between Two Proportions using Historical Controls
- Logrank Tests Assuming an Exponential Model using Historical Controls
Poisson Rates and Vaccine Efficacy
- Tests for the Ratio of Two Poisson Rates in a Cluster-Randomized Design using GEE
- Superiority by a Margin Tests for the Ratio of Two Poisson Rates in a Cluster-Randomized Design using GEE
- Non-Inferiority Tests for the Ratio of Two Poisson Rates in a Cluster-Randomized Design using GEE
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- Superiority by a Margin Tests for Vaccine Efficacy using the Ratio of Two Poisson Rates in a Cluster-Randomized Design using GEE
- Non-Inferiority Tests for Vaccine Efficacy using the Ratio of Two Poisson Rates in a Cluster-Randomized Design using GEE
Means
- Tests for the Matched-Pair Difference of Two Means in a Cluster-Randomized Design with Missing Value Adjustment
- GEE Tests for Two Means in a Stratified Cluster-Randomized Design
- Mixed Models Tests for Interaction in a 2×2 Factorial Model for Repeatedly Measured Correlated (Longitudinal) Data
Two Correlations
- Tests for Two Independent Pearson's Correlations
- Tests for Two Dependent Pearson's Correlations with One Index in Common (Steiger's Z-Test)
- Tests for Two Dependent Pearson's Correlations with No Indices in Common (Steiger's Z-Test)
PASS 2025 中的改进程序
选项信息消息
鼠标悬停在 option-info 消息上在 228 个过程中得到了改进。特别是，'Solve For' 选项描述已针对每个过程进行了自定义。
PASS 2025 的系统改进
组件
PASS 的三个主要底层软件组件已更新到最新版本，以改进未来的功能和兼容性。
可变输出大小
现在，输出文档尺寸可以选择根据输出所需的空间自动增加或减少。
上一版本 PASS 输出 （Logrank 测试示例）
PASS 2025 输出
免费试用
单击此处下载 PASS 2025 的免费试用版。
PASS 2025 的兼容性
PASS 2025 与 Windows 11、10、8.1、8 和 7 位作系统上的 32、64 完全兼容。PASS 2025 还与 Windows Server 2022、2019、2016、2012 R2、2012 和 2008 R2 SP1 完全兼容。单击此处查看完整的系统要求。
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