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Unadjusted (bivariate) and multivariable ordinal logistic regression analysis of predictors of disease prevalence for ordinal outcome in three categories of increasing disease severity (No CIN, CIN1, CIN2, ≥CIN3) confirmed by composite colposcopic-histopathological diagnosis among HIV-infected wome

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NIAID Data Ecosystem2026-03-07 收录
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Abbreviations: OR: Odds ratio; CI: Confidence intervals; INR: Indian Rupees; BMI: Body Mass Index; ART: Antiretroviral therapy; STI: Sexually transmitted infection; WHO: World Health Organization. *The number of covariates that could be included in the multivariable regression model was dependent on the number of event outcomes for that analysis to avoid over-fitting of the models. Hence only 10 covariates were included in the multivariable model. Covariates were deemed scientifically important and selected a priori along with covariates that were significant in unadjusted (bivariate) analysis. ∧The exchange rate at the time of the study was approximately 45 INR (Indian Rupees) per US$ such that Indian Rupees 1,000 are the equivalent of US$ 22.

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2013-02-21
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