... as an HAQ score of 2 or more. Genetic association analyses were performed with HelixTree. Multivariate logistic regression models and ROC curves, to determine sensitivity ...
... were collected, researchers estimated the lifetime risk of symptomatic osteoarthritis in at least one knee using logistic regression models of statistical analysis. They found that the lifetime risk ...
... ); and morbidly obese (BMI ≥ 35 kg/m2, 12.4 percent). Logistic regression models were developed to assess risk-adjusted 30-day outcomes by BMI while ...
... ulceration. Differences in in-hospital mortality between patients admitted on weekends and weekdays were evaluated using logistic regression models, adjusting for patient and clinical factors ...
... and 723 controls with their sex and age (within 5 years) matched. An unconditional logistic regression model was used to analyze the association between smoking, alcohol ...
... computer using statistical software to create a logistic regression model. The formula was made for every cohort ... not do so. For those individuals, the method based on logistic regression analysis will show a clear direction ...
... of peg-interferon plus ribavirin therapy for chronic hepatitis C with a formula using a logistic regression model. The results suggested that a novel formula ...
... ) and in those who napped four to six times per week (14.7 percent). Logistic regression models were constructed to assess the relationship between napping ...
... 43 596 Danish people followed between January 1976 and July 2007. Using a logistic regression model (used to predict the probability of an occurrence) physicians ...
... from the analyzed sample. Univariate analyses were performed and risk factors were entered into multivariate logistic regression models. Results There were 127 patients who had one or more flat ...
... from hepatitis C within three years. Analysis was performed using ordinal multivariate logistic regression modeling. Results showed that of the 165 patients ...
... of screening for common sleep complaints in routine clinical practice. Results of multivariate logistic regression models show that the risk of developing the metabolic ...
... ratios were calculated to determine the influence of RA, and were obtained using the statistical tool multivariate logistic regression modelling which included gender, age, co ...
... criteria. Researchers studied the prognostic relevance of miRNAs in a subset of 81 cases. Logistic regression modeling and the associated ROC analyses identified ...
... and over have access to Medicare, the study focused on adults age 18 to 64. Researchers used logistic regression models to examine predictors of medical debt ...
