Background Machine learning (ML) is a growing field in medicine. This narrative review
describes the current body of literature on ML for clinical decision support in infectious …

Background Natural or quasi experiments are appealing for public health research because
they enable the evaluation of events or interventions that are difficult or impossible to …

Quasi-experimental studies are increasingly used to establish causal relationships in
epidemiology and health systems research. Quasi-experimental studies offer important …

Objectives The aim of the study was to extend a previously published checklist of study
design features to include study designs often used by health systems researchers and …

Diabetes is a leading cause of morbidity, mortality and cost of illness,. Health behaviours,
particularly those related to nutrition and physical activity, play a key role in the development …

Background In clinical medical research, causality is demonstrated by randomized
controlled trials (RCTs). Often, however, an RCT cannot be conducted for ethical reasons …

The purpose of this study was to collect evidence of the relationship between retirement and
depression through meta-analysis and further analyze the heterogeneity of results. The …

Despite a large number of empirical studies, the controversy of whether a gender gap in
education harms or boosts economic performance still persists. We conduct a systematic …

Background Universal testing and treatment (UTT) for all people living with HIV has only
been assessed under experimental conditions in cluster-randomised trials. The public …

Objectives Rigorous and transparent bias assessment is a core component of high-quality
systematic reviews. We assess modifications to existing risk of bias approaches to …