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A multiple logistic regression analysis was run to study the independent association of variables with IPIs.
For both progression and incidence, a multiple logistic regression model was used to determine baseline predictors of on-study retinopathy.
Thirdly, the factors affecting the quality of Japanese PET studies were analyzed using a multiple logistic regression model.
Odds ratios for attainment of seroprotection were recorded for studies reporting results from a multiple logistic regression model.
A multiple logistic regression analysis was conducted.
Multivariate analyses were performed using a multiple logistic regression.
Multiple logistic regression was used to study the risk factors associated with visually obvious lipoatrophy, adjusting for age and CD4.
Our study only included studies used multiple logistic regression to decrease the effect of confounders for the MP use-headache association.
We compared the results of the multiple logistic regression analysis with the results of previous studies.
* ANRS-Coquelicot study, France, 2004 2005 (N = 817 DUs who consented to be tested) * Multiple logistic regression analysis among French DUs.
Multiple logistic regression was applied to adjust for key baseline characteristics.
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