In basic neuroscience research, data are often clustered or collected with repeated
measures, hence correlated. The most widely used methods such as t test and ANOVA do …

In longitudinal studies variables are measured repeatedly over time, leading to clustered
and correlated observations. If the goal of the study is to develop prediction models …

Dominantly inherited Alzheimer's disease (DIAD) causes predictable biological changes
decades before the onset of clinical symptoms, enabling testing of interventions in the …

Importance Selecting effective antidepressants for the treatment of major depressive
disorder (MDD) is an imprecise practice, with remission rates of about 30% at the initial …

Social isolation has robust adverse effects on health, well-being, dementia risk, and
longevity. Although most studies suggest similar effects of isolation on the health of men and …

Misuse of statistics in medical and sports science research is common and may lead to
detrimental consequences to healthcare. Many authors, editors and peer reviewers of …

Complex nonparametric models—like neural networks, random forests, and support vector
machines—are more common than ever in predictive analytics, especially when dealing …

Early childhood is a critical stage for the foundation and development of both the
microbiome and host. Early-life antibiotic exposures, cesarean section, and formula feeding …

Summary Background Hong Kong has been embroiled in increasingly violent social unrest
since June, 2019. We examined the associated population mental health burden, risk …

Summary Patient-reported outcomes (PROs), such as symptoms, function, and other health-
related quality-of-life aspects, are increasingly evaluated in cancer randomised controlled …