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 …

Methods textbooks in sociology and other social sciences routinely recommend the use of
the logit or probit model when an outcome variable is binary, an ordered logit or ordered …

INTRODUCTION Obesity accounts for a substantial and growing burden of disease globally.
Body adiposity is highly heritable, and human genetic studies can lead to biological and …

Restoration of human brain function after injury is a signal challenge for translational
neuroscience. Rodent stroke recovery studies identify an optimal or sensitive period for …

In a study of household transmission in four US jurisdictions, Omicron infection resulted in
high transmission among household contacts, particularly among those who lived with index …

Summary Background Nirmatrelvir plus ritonavir (Paxlovid) reduced the risk of
hospitalization or death by 89% in high-risk, ambulatory adults with COVID-19. We aimed at …

The coefficient of determination R 2 quantifies the proportion of variance explained by a
statistical model and is an important summary statistic of biological interest. However …

Aim Metabolic associated fatty liver disease (MAFLD) partly overlaps with non‐alcoholic fatty
liver disease (NAFLD). Thus, using a generalized estimating equation (GEE) approach, we …

Background The evidence base for severe acute respiratory syndrome coronavirus-2 (SARS-
CoV-2) is nascent. We sought to characterize SARS-CoV-2 transmission within US …

Multilevel data occur frequently in health services, population and public health, and
epidemiologic research. In such research, binary outcomes are common. Multilevel logistic …