Poisson regression models were used to estimate the relationship between suicide risk and its potential correlates. Variables with a p-value <0.20 in the univariate analysis were considered eligible for multivariate testing. Multivariate analyses were systematically adjusted for chronic HCV co-infection. A stepwise backward selection procedure with a threshold at p = 0.05 was used to identify the other variables eligible to stay in the final multivariate model. All analyses were based on two-sided p values, with p<0.05 indicating statistical significance. They were conducted using Stata/SE 12.1 software for Windows (Stata Corp LP, USA).
Stata se 12.1 software for windows
Manufactured by StataCorp
Sourced in United States
Stata/SE 12.1 is a data analysis and statistical software package developed by StataCorp. It is designed to run on the Windows operating system. The software provides a comprehensive set of tools for data management, statistical analysis, and visualization.
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Lab products found in correlation
2 protocols using stata se 12.1 software for windows
1
Suicide Risk Correlates Analysis
2
Factors Influencing HIV Care Renunciation
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We performed univariate and multivariate analyses using logistic regression to identify the main characteristics of PLHIV independently associated with renunciation of care compared with no renunciation of care.
Data were weighted and calibrated to be representative of the population of PLHV followed up in French hospitals in 2011. The weighting procedure accounted for the sampling technique and the heterogeneous rates of both non-participation in the survey and non-response by participants to the questionnaire [19] . All analyses were performed on weighted and calibrated data using Stata/SE 12.1 software for Windows (StataCorp LP, USA).
Data were weighted and calibrated to be representative of the population of PLHV followed up in French hospitals in 2011. The weighting procedure accounted for the sampling technique and the heterogeneous rates of both non-participation in the survey and non-response by participants to the questionnaire [19] . All analyses were performed on weighted and calibrated data using Stata/SE 12.1 software for Windows (StataCorp LP, USA).
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