Univariable and multivariable ordinal logistic regression for household economic poverty among the 200 trichiasis cases only.

Analysed based on the classification of participants and households into quintiles (richest to poorest) using the overall asset index. Ordinal logistic regression was used to identify correlates of asset based socio-economic status (ordered categorical variable) in a univariable and multivariable analysis. Variables that were associated with the outcome on univariable analyses at a level of p<0.05 were included in the multivariable analysis and then those with p<0.2 were retained in the final model after likelihood ratio-test. Univariable and multivariable ordinal logistic regression for household economic poverty among the 200 trichiasis cases only.本研究以整体资产指数为依据，将研究参与者与家庭按资产水平划分为五等分组（由最富裕至最贫困）并开展分析。采用序数logistic回归模型，通过单变量与多变量分析，识别基于资产的社会经济地位（有序分类变量）的相关影响因素。在单变量分析中p<0.05水平下与结局存在统计学关联的变量将被纳入多变量分析，随后经似然比检验筛选后，保留p<0.2的变量以构建最终模型。 仅针对200例倒睫病例，开展家庭经济贫困状况的单变量与多变量序数logistic回归分析。