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Primary and secondary outcome measures Participants underwent audiological investigations and tinnitus pitch and loudness matching measurements, followed by intensive sound masking therapy. The ...
Objectives Nearly 20% of pregnancies in patients with SLE result in an adverse pregnancy outcome (APO). We previously developed an APO prediction model using logistic regression and data from ...
An important problem in the field of bioinformatics is to identify interactive effects among profiled variables for outcome prediction. In this paper, a logistic regression model with pairwise ...
Therefore, in this paper, a logistic quantile regression (QR) model is provided to fill this gap and deal with continuous bounded outcomes with crash rate prediction. The crash data set from 2003 to ...
Objective There is a paucity of data relating to neurodevelopmental outcomes in infants born late and moderately preterm (LMPT; 32+0–36+6 weeks). This paper present the results of a prospective, ...
Two logistic-regression models (M1 and M4) have been developed to predict the outcomes of PULs, based on the results of two serum hCG levels taken at 0 and 48h, respectively, ( Table 1 ). [21, 22 ...
Objective We aimed to estimate prevalence and identify determinants of hypertension in adults aged 15–49 years in Tanzania.
Results: Among the statistically different variables, the highest accuracy was obtained when 15 scalars were selected to enter the final model.In the logistic regression equation, the 15 independent ...
Study objective: In social epidemiology, it is easy to compute and interpret measures of variation in multilevel linear regression, but technical difficulties exist in the case of logistic regression.