逻辑回归模型，用于研究不同的二分变量与死亡率之间的连接。

A logistic regression model was used to investigate the connection between different dichotomous variables with mortality.

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然后，基于具有门限变量的布尔方程和有序二分决策图方法(OBDD)，给出计算k -终端网络可靠度算法。

And then using Boolean equations containing gate variables and means of OBDD, an efficient algorithm for computing the K-terminal reliability of a network is also proposed.

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对于二分类变量的结局来说，你只需输入事件发生数(在本例中，即发生头痛的人数)和每组的总人数。将下表的数据输入表格中。

For dichotomous outcomes, you will need to enter the number of events (in this case, the number of headaches) and the number of participants in each group. Enter the following data into the table.

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对于二分结果变量，我们以意向治疗的基础计算了比值比和他们的95%可信区间。

For binary outcomes, we calculated odds ratios and their 95% confidence interval (CI), on an intention-to-treat basis.

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对于二分结果变量，我们以意向治疗的基础计算了比值比和他们的95%可信区间。

For binary outcomes, we calculated odds ratios and their 95% confidence interval (CI), on an intention-to-treat basis.

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