Predicting the risk of HIV infection among internal migrant MSM in China: An optimal model based on three variable selection methods.

Frontiers in public health(2022)

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摘要
The model established by stepwise selection methods incorporating 11 risk factors (age, education, marriage, monthly income, verbal violence, syphilis, score of CUSS, score of RSES, score of ULS, score of ES and score of DS) was the optimal model that achieved the best predictive power. The risk nomogram based on the optimal model had relatively good efficacy, accuracy and clinical utility in identifying internal migrant MSM at high-risk for HIV infection, which is helpful for developing targeted intervention for them.
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关键词
HIV,internal migrant MSM,nomogram,prediction model,random forests,stepwise selection,univariable selection
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