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Comparison of pain intensity, quality of life items and side effects at baseline and over time between the three arms will be done using multilevel analysis.
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31 All data management was done using SAS V.9.2 32 and multilevel modelling using MLwiN V.2.24.
All analyses were done using MLwiN version 2.02 (Centre for Multilevel Modelling, Bristol, UK) [ 23].
All analyses were done using MLwiN (version 2.1, Centre for Multilevel Modelling, London, UK).
Noise filtering of the RetCam images was done using anisotropic diffusion filtering which allowed multilevel visualization of vascularity analysis data.
Analysis was done using MLwiN software package (Centre for Multilevel Modelling, University of Bristol) with models fitted using iterative generalised least squares.
A multilevel analysis was done using complex sample methods where design-based weights for different sampling strata were calculated as the reciprocal of the probability of selection of units in that particular strata.
Subsequently, multilevel logistic regression was done using a forward stepwise approach.
All logistic regression and other statistical analysis except for multilevel modelling (done using PROC GLIMMIX in SAS version 9.2) were done using the SPSS package version 14 for Windows.
This can be done by using a multilevel logistic regression model for binary outcomes or a frailty model for time-to-event outcomes [ 5, 6].
This could be done in multilevel studies by using other neighbourhood characteristics such as measures of social capital and studying their relationship with health outcomes by gender or by using qualitative methods to uncover the mechanisms by which neighbourhood informality influence women's health.
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