The extent to which depression and obesity are causally related remains to be determined. We used intergenerational data on mother–offspring pairs in an instrumental variable analysis to examine ...

Time series analysis can be useful to see how a given asset, security, or economic variable changes over time. Forecasting methods using time series are used in both fundamental and technical ...

Proper handling of continuous variables is crucial in healthcare research, for example, within regression modelling for descriptive, explanatory, or predictive purposes. However, inadequate methods ...

There are different variables at play in this type of statistical analysis, including a dependent variable—the main variable that you're trying to understand—and an independent variable(s ...

Analysis of age as a continuous variable demonstrated a significant association in mean age at enrollment and cooperative group, with EpSSG patients older than each of the other cooperative groups’ ...

Methods matter: instrumental variable analysis may be a complementary approach to intention-to-treat analysis and as treated analysis when analysing data from sports injury trials. Br J Sports Med ...

Excessive daytime sleepiness, nonrestorative sleep and sleep behaviors all play a significant role in sleep health, according to results of a network analysis of sleep variables published in Sleep ...

Statistical indices were computed for each group and for each variable, and analysis of variance factorial analysis was performed to evaluate the statistical significance of the differences detected.