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For scoring the different models, variables in the model were weighted by their respective logistic regression coefficient.
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Participant characteristics and distributions of model variables in categorical items are presented in Table 1.
Monthly income had significant influence on all model variables in our participants.
AOR-Adjusted odds ratio; CI-Confidence interval; '-' variable not significant in final model; Variables in the multivariable model are adjusted for all other variables in the model.
In addition, marital status, occupation, CD4 cell count, and the route of HIV infection were not related to any model variables in this study.
Note: The table reports the distribution of the model variables in the case and control groups for age groups 0-19 years.
Items from the Kessler 10 [ 55] were included in the multiple imputation procedure as potentially important model variables along with all predictor and dependent model variables in the primary analyses.
P values of 0.05 were chosen as significance levels for gene selection after Benjamini-Hochberg correction and for model variable in maSigPro.
Model 3: variables in Model 1 plus all area level factors (urbanization, CDI, medical service supply).
Model 2: variables in Model 1 plus medical service supply (numbers of primary physicians per km2, numbers of gastric cancer screening center per 10,000 persons).
Descriptive statistics for model variables appear in Table 1.
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