Unmeasured confounding is one of the main sources of bias in observational studies. A
popular way to reduce confounding bias is to use sibling comparisons, which implicitly …

Political debate concerning moralized issues is increasingly common in online social
networks. However, moral psychology has yet to incorporate the study of social networks to …

Abstract Background Cluster-randomized trials (CRTs) involve randomizing groups of
individuals (eg hospitals, schools or villages) to different interventions. Various approaches …

The cluster randomized trial allows a randomized evaluation when it is either not possible to
randomize the individual or randomizing individuals would put the trial at high risk of …

Biometry for Forestry and Environmental Data with Examples in R focuses on statistical
methods that are widely applicable in forestry and environmental sciences, but it also …

Children not vaccinated against severe acute respiratory syndrome coronavirus 2 (SARS-
CoV-2) may still benefit from vaccines through protection from vaccinated contacts. We …

Biological systems, at all scales of organisation from nucleic acids to ecosystems, are
inherently complex and variable. Biologists therefore use statistical analyses to detect signal …

Differences between arm‐based (AB) and contrast‐based (CB) models for network meta‐
analysis (NMA) are controversial. We compare the CB model of Lu and Ades (2006), the AB …

Importance Animal evidence suggests that endocrine disruptors affect germline cells and
neurodevelopment. However, to date, the third-generation neurodevelopmental outcomes in …

Cluster randomized trials (CRTs) randomly assign an intervention to groups of individuals
(eg, clinics or communities) and measure outcomes on individuals in those groups. While …