<p>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.</p><p>Univariable and multivariable ordinal logistic regression for household economic poverty among the 200 trichiasis cases only.</p
The ordinal logistic regression models are used to analyze the dependant variable with multiple outc...
Poverty is multi-dimensional in nature and depends on interactions of various socio-economic factors...
<p>Logistic regressions of each separate economic outcome are performed in relation to each separate...
Ordinal logistic regression models are used to predict the dependent variable, when dependent variab...
<p>Univariable and multivariable logistic regression analyses of correlates of food insecurity (n = ...
<p>Multivariable analyses for the comparison of poverty variables at baseline and follow-up among op...
Ordinal logistic regression analysis of sociodemographic factors and severity of depression (PHQ-9)....
The challenges associated with poverty measurement within an axiomatic framework, especially with ca...
The challenges associated with poverty measurement within an axiomatic framework, especially with c...
<p>Logistic regressions of each separate economic outcome are performed in relation to each separate...
<p>Multivariable analyses for the comparison of poverty variables at baseline and follow-up among op...
Poverty being multi-dimensional in nature is the product of various interactive socioeconomic factor...
Poverty is a global problem that faced by countries in the world, including Indonesia. In the Su...
Multicollinearity often comes out when making modeling using regression. Multicollinearity causes di...
<p>Univariable and multivariable ordinal logistic regression for progressive agreement in the “Suppo...
The ordinal logistic regression models are used to analyze the dependant variable with multiple outc...
Poverty is multi-dimensional in nature and depends on interactions of various socio-economic factors...
<p>Logistic regressions of each separate economic outcome are performed in relation to each separate...
Ordinal logistic regression models are used to predict the dependent variable, when dependent variab...
<p>Univariable and multivariable logistic regression analyses of correlates of food insecurity (n = ...
<p>Multivariable analyses for the comparison of poverty variables at baseline and follow-up among op...
Ordinal logistic regression analysis of sociodemographic factors and severity of depression (PHQ-9)....
The challenges associated with poverty measurement within an axiomatic framework, especially with ca...
The challenges associated with poverty measurement within an axiomatic framework, especially with c...
<p>Logistic regressions of each separate economic outcome are performed in relation to each separate...
<p>Multivariable analyses for the comparison of poverty variables at baseline and follow-up among op...
Poverty being multi-dimensional in nature is the product of various interactive socioeconomic factor...
Poverty is a global problem that faced by countries in the world, including Indonesia. In the Su...
Multicollinearity often comes out when making modeling using regression. Multicollinearity causes di...
<p>Univariable and multivariable ordinal logistic regression for progressive agreement in the “Suppo...
The ordinal logistic regression models are used to analyze the dependant variable with multiple outc...
Poverty is multi-dimensional in nature and depends on interactions of various socio-economic factors...
<p>Logistic regressions of each separate economic outcome are performed in relation to each separate...