Binary contrasts for unordered polytomous regressors
Binary contrasts for unordered polytomous regressors
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DOI：
10.1177/1536867x221083900
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发表时间：
2022-03-01
期刊：
影响因子：
4.8
通讯作者：
Johfre, Sasha
中科院分区：
文献类型：
--
作者：
Freese, Jeremy;Johfre, Sasha
在观察性研究中，分类回归因子的回归系数绝大多数是以与参考类别的对比来表示的。然而，对于具有许多类别的无序回归量，这种方法往往侧重于将不同的类别对相互比较，而没有实质性的理由来突出与其他类别的比较。均值对比将类别与总体均值进行比较，提供了参考类别的替代方案，但均值对比的大小与类别的相对大小相混淆。相反，二元对比将一个类别与所有其他类别进行比较，允许对二分回归的熟悉解释。我们的命令binarycontrast计算二进制对比。
In observational studies, regression coefficients for categorical regressors are overwhelmingly presented in terms of contrasts with a reference category. For unordered regressors with many categories, however, this approach often focuses on contrasting different pairs of categories to one another with little substantive rationale for foregrounding some comparisons with others. Mean contrasts, which compare categories with the overall mean, provide an alternative to the reference category, but the magnitude of mean contrasts is conflated with the relative sizes of the categories. Instead, binary contrasts compare a category with all the other categories, allowing the familiar interpretation for dichotomous regressors. Our command binarycontrast computes binary contrasts.