Background Before considering whether to use a multivariable (diagnostic or prognostic)
prediction model, it is essential that its performance be evaluated in data that were not used …

Objective To assess the accuracy of the Wells rule for excluding deep vein thrombosis and
whether this accuracy applies to different subgroups of patients. Design Meta-analysis of …

Because missing data are present in almost every study, it is important to handle missing
data properly. First of all, the missing data mechanism should be considered. Missing data …

Background Up to 60% of breast cancer patients treated with chemotherapy is confronted
with cognitive problems, which can have a significant impact on daily activities and quality of …

High quality protocols facilitate proper conduct, reporting, and external review of clinical
trials. However, the completeness of trial protocols is often inadequate. To help improve the …

Importance Although use of oral anticoagulants (OACs) is increasing, there is a substantial
lack of data on how to treat OAC-associated intracerebral hemorrhage (ICH). Objective To …

Background The consumption of beverages that contain sugar is associated with
overweight, possibly because liquid sugars do not lead to a sense of satiety, so the …

Objectives To provide baseline cohort descriptives and assess change in health behaviours
since the UK COVID‐19 lockdown. Design A prospective cohort (N= 1,044) of people …

The use of multiple imputation has increased markedly in recent years, and journal
reviewers may expect to see multiple imputation used to handle missing data. However in …

Objectives Patients with head and neck cancer (HNC) have a higher risk of malnutrition and
sarcopenia, which is associated with adverse clinical outcome. As abdominal CT-imaging is …