<p>Summary statistics are based on original data (ignoring the missing observations). However, both the unadjusted (univariate) and adjusted (bivariate) odds ratios (and their 95% confidence intervals) were computed after a multiple imputation analysis (of 100 iterations) to replace the missing observations for age, CD4 count, weight and WHO Stage. The odds ratios were computed using logistic regression models (with all variables forced into the model in the adjusted/multivariate analysis).</p><p> <i>*: missing observations replaced using multiple imputation (100 iterations).</i></p
<p>Odds ratios of Multivariate logistic regression analyses for outcome of interest versus patient c...
<p>*Only case-c°ntrol pairs with complete information on all covariates were included in the multiva...
<p><b>NOTE</b>. Odds ratios (ORs) were adjusted with eight categories of underlying disease.</p>†<p>...
<p>Likely effective, drugs to which isolate susceptible in laboratory testing. <i>n</i>, number of p...
<p>Odds Ratios for Clinically Significant Drug Interaction by CD4 Count Decile.</p
BACKGROUND: Multiple imputation is a popular approach to handling missing data in medical research, ...
<p>(r) Reference category</p><p>* The total number of women included in this analysis is lower than ...
<p>Unadjusted odds ratios (95% confidence intervals) quantifying the bivariable relationships betwee...
<p>Bold, estimates are significantly different from the reference group.</p>a<p><i>n</i> shown, the ...
Missing data is a common occurrence in clinical research. Missing data occurs when the value of the ...
<p>Hazard ratios and 95% confidence intervals of predictors for cART modification due to drug relate...
International audienceABSTRACT: BACKGROUND: The weighted estimators generally used for analyzing cas...
<p>Hazard ratios and 95% confidence intervals of predictors for cART modification. Bolded values ind...
The selection of variables used to predict a time to event outcome is a common and important issue w...
grantor: University of TorontoMissing data or incomplete data are very common in almost ev...
<p>Odds ratios of Multivariate logistic regression analyses for outcome of interest versus patient c...
<p>*Only case-c°ntrol pairs with complete information on all covariates were included in the multiva...
<p><b>NOTE</b>. Odds ratios (ORs) were adjusted with eight categories of underlying disease.</p>†<p>...
<p>Likely effective, drugs to which isolate susceptible in laboratory testing. <i>n</i>, number of p...
<p>Odds Ratios for Clinically Significant Drug Interaction by CD4 Count Decile.</p
BACKGROUND: Multiple imputation is a popular approach to handling missing data in medical research, ...
<p>(r) Reference category</p><p>* The total number of women included in this analysis is lower than ...
<p>Unadjusted odds ratios (95% confidence intervals) quantifying the bivariable relationships betwee...
<p>Bold, estimates are significantly different from the reference group.</p>a<p><i>n</i> shown, the ...
Missing data is a common occurrence in clinical research. Missing data occurs when the value of the ...
<p>Hazard ratios and 95% confidence intervals of predictors for cART modification due to drug relate...
International audienceABSTRACT: BACKGROUND: The weighted estimators generally used for analyzing cas...
<p>Hazard ratios and 95% confidence intervals of predictors for cART modification. Bolded values ind...
The selection of variables used to predict a time to event outcome is a common and important issue w...
grantor: University of TorontoMissing data or incomplete data are very common in almost ev...
<p>Odds ratios of Multivariate logistic regression analyses for outcome of interest versus patient c...
<p>*Only case-c°ntrol pairs with complete information on all covariates were included in the multiva...
<p><b>NOTE</b>. Odds ratios (ORs) were adjusted with eight categories of underlying disease.</p>†<p>...