Objective: To examine temporal trends in participation in sport and exercise activities in England between 1997 and 2006 while taking into account wider societal changes. Design: A series of annual ...

More than a decade after Attack the Block was released, it has become a cult-classic film. it’s looking like Moses is getting ready to jump back into action, and John Boyega is very excited about it..

Linear and logistic regression models are essential tools for quantifying the relationship between outcomes and exposures. Understanding the mathematics behind these models and being able to apply ...

Logistic regression is preferrable over a simpler statistical test such as chi-squared test or Fisher’s exact test as it can incorporate more than one explanatory variable and deals with possible ...

Multivariate logistic regression was performed to investigate the association of demographic and audiological factors with effective therapy. Results According to the THI score changes pre and post ...

Objective To develop and validate multivariable clinical diagnostic models to assist distinguishing between type 1 and type 2 diabetes in adults aged 18–50. Design Multivariable logistic regression ...

We will again illustrate the concepts of ordinal logistic regression model interpretation using an example from the ESCAPE-NA1 trial.14 Online supplemental table 2 shows the results of an ordinal ...

Comparison of continuous variables between >2 groups was performed with the use of 1-way ANOVA, followed by post hoc Bonferroni tests. The association between aortic valve morphology and postoperative ...

In addition to reporting effect sizes using odds ratios, we also used the multivariable logistic regression models to estimate the average adjusted predicted probability (% AAP; ie, average predicted ...