Importance Clinicians, patients, and policy makers rely on published results from clinical
trials to help make evidence-informed decisions. To critically evaluate and use trial results …

Missing data is a common occurrence in clinical research. Missing data occurs when the
value of the variables of interest are not measured or recorded for all subjects in the sample …

Missing data pose challenges to real-life data analysis. Simple ad-hoc fixes, like deletion or
mean imputation, only work under highly restrictive conditions, which are often not met in …

Objective To provide GRADE guidance for assessing risk of bias across an entire body of
evidence consequent on missing data for systematic reviews of both binary and continuous …

Background Considered one of the highest levels of evidence, results of randomized
controlled trials (RCTs) remain an essential building block in mental health research. They …

This review aims to explain the basic concepts and approaches related to randomized
controlled trials, which is an important type of research with the development of viewpoint of …

Most quantitative studies in the social sciences suffer from missing data. However, despite
the large availability of documents and software to treat such data, it appears that many …

Missing data result in less precise and possibly biased effect estimates in single studies.
Bias arising from studies with incomplete outcome data is naturally propagated in a meta …

OBJECTIVE: To update the evidence on the effectiveness of exercise interventions to
prevent episodes of neck pain. DESIGN: Systematic review with meta-analysis …

Objective To compare recurrence of a cyst or abscess of the Bartholin gland after surgical
treatment using a Word catheter or marsupialisation. Design Multicentre, open‐label …