遇见数据集

Gender differences for reported financial affiliations after adjustment<sup>A</sup>.

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A: Adjusted for Physician factors (Specialty: Medical vs. Surgical vs. Other and Age), as well as institutional factors (Hospital > 500 beds, has a medical school affiliation, has any NIH awards, Located in an AHA Top 100 ranked city) P value for Gender main effect from linear mixed effects model with these adjustments. Indicated by * for P<0.05, ** for P<0.01, and *** for P<0.001 B: From the same model as A, but using Log(Total Dollars) as the predicted outcome. Results are the back-transformed to reflect the dollar amount received by females per dollar received by males. Gender differences for reported financial affiliations after adjustmentA.

A:已针对医师相关因素(专科类别:内科、外科及其他,以及医师年龄)与机构相关因素(医院床位超过500张、具备医学院附属资质、获得过任意美国国立卫生研究院(National Institutes of Health, NIH)资助、位于美国医院协会(American Hospital Association, AHA)百强城市榜单覆盖城市)进行了校正。此处给出经上述校正的线性混合效应模型(linear mixed effects model)中性别主效应的P值,显著性标记规则为:P<0.05时标记为*,P<0.01时标记为**,P<0.001时标记为***。 B:采用与A完全一致的模型,但以总金额对数(Log(Total Dollars))作为预测结局指标。所得结果经反变换处理,以反映男性每获得1美元时女性所获得的对应金额。经校正A处理后,披露的财务关联情况中的性别差异。

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2015-06-11
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