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Predictors were analyzed using bivariable and multivariable logistic regression models.A total of 23 (16%) of 150 subjects reported incomplete adherence.
The outcome predictors were analyzed using multivariate logistic regression.
Potential predictors were analyzed for possible association with outcomes.
The univariate relationship between the outcome and the potential predictors were analyzed by Fisher's exact test or Wilcoxon rank-sum test as appropriate.
Differences in the prevalence of pulmonary TB by potential predictors were analyzed using the Chi-Square test for categorical variables or the Mann-Whitney test for continuous variables.
For black bear activity in the intertidal, RF models were not constructed using cumulative sums; instead, bear activity and associated predictors were analyzed on a daily basis per beach.
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The association between musculoskeletal complaints and possible predictors was analyzed using a logistic and Poisson regression.
Since all the predictor variables were categorical (i.e. indicator variables), the significance in the model of each group of the predictors was analyzed by applying a likelihood ratio test.
The relationship between hospital mortality and its potential predictors was analyzed by univariate logistic regression and described by odds ratios, their 95% confidence intervals (CI) and corresponding statistical significance.
The impact of the number of the foreword prediction frame N and the number of the predictor order M of the RLS predictor is analyzed in detail.
For this objective each potential predictor was analyzed individually, without adjustment for the other predictor variables.
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