Bridge-funding by tertiary-educational institutions allows researchers to continue their research in times of funding loss. With the ever-declining funding rates for major medical research institutions in North America, and the global economic downturn, it is crucial to critically assess institutional policies surrounding the allocation of…

This article explains what clinical research is and why it is necessary. The term "clinical" refers to an academic way of solving practical problems. Clinical research starts from a view of science that not only acknowledges the value of rational analysis and empirical research, but also acknowledges the need for human skills and…

In step with the worldwide trend for higher educational institutes to establish areas of research emphasis,the accumulation of resources in key areas has become common practice in veterinary faculties. Although there are perceived logical benefits to research prioritisation, there have been very little critical retrospective analyses of research…

Realising the societal gains from publicly funded health and medical research requires a model for a reflexive evaluation precedent for the societal impact of research. This research explores UK Research Excellence Framework evaluators' values and opinions and assessing societal impact, prior to the assessment taking place. Specifically, we…

In meta-analysis, the random-effects model is often used to account for heterogeneity. The model assumes that heterogeneity has an additive effect on the variance of effect sizes. An alternative model, which assumes multiplicative heterogeneity, has been little used in the medical statistics community, but is widely used by particle physicists. In…

Meta-analyses in orphan diseases and small populations generally face particular problems, including small numbers of studies, small study sizes and heterogeneity of results. However, the heterogeneity is difficult to estimate if only very few studies are included. Motivated by a systematic review in immunosuppression following liver…

Introduction: Previous studies suggest that many systematic reviews contain meta-analyses that display temporal trends, such as the first study's result being more extreme than later studies' or a drift in the pooled estimate. We assessed the extent and characteristics of temporal trends using all Cochrane intervention reports published 2008-2012.…

In network meta-analysis, the use of fixed baseline treatment effects (a priori independent) in a contrast-based approach is regularly preferred to the use of random baseline treatment effects (a priori dependent). That is because, often, there is not a need to model baseline treatment effects, which carry the risk of model misspecification.…

The search for necessary and sufficient causes of some outcome of interest, referred to as "configurational comparative research," has long been one of the main preoccupations of evaluation scholars and practitioners. However, only the last three decades have witnessed the evolution of a set of formal methods that are sufficiently…

Translational science is an emerging field that holds great promise to accelerate the development of novel medical interventions. As the field grows, so does the demand for highly trained biomedical scientists to fill the positions that are being created. Many graduate and postdoctorate training programs do not provide their trainees with…

Background: Adults with intellectual disabilities and/or autism are often excluded from participating in health and healthcare research. Understanding study information, which is an important aspect of demonstrating capacity to give informed consent, can be a particular challenge. This study surveyed clinical researchers to discover: (i) their…

Experiential learning is an effective educational tool across many academic disciplines, including career development. Nine different institutions bridged by the National Institutes of Health Broadening Experiences in Scientific Training Consortium compared their experiments in rethinking and expanding training of predoctoral graduate students and…

Machine learning (ML) algorithms have proven highly accurate for identifying Randomized Controlled Trials (RCTs) but are not used much in practice, in part because the best way to make use of the technology in a typical workflow is unclear. In this work, we evaluate ML models for RCT classification (support vector machines, convolutional neural…

Small-study effects are a common threat in systematic reviews and may indicate publication bias. Their existence is often verified by visual inspection of the funnel plot. Formal tests to assess the presence of funnel plot asymmetry typically estimate the association between the reported effect size and their standard error, the total sample size,…

Background: This article charts the relationships between the model of evidence-based practice (EBP), healthcare markets where providers are increasingly competing through the adoption of EBP-certified interventions, and the cultivation of experiential knowledge within self-help and mutual aid groups (MAGs). After 35 years of neoliberal reform,…