Browsing Conducting Research by Title
Now showing items 37-49 of 49
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Qualitative study of barriers to clinical trial retention in adults with recently diagnosed type 1 diabetes
(2018-07)Objectives: Regular physical exercise may preserve β cell function in newly diagnosed adults with type 1 diabetes (T1D). However, clinical trials to test this theory require the recruitment and retention of adults with ... -
R package to identify sudden gains
(PsyArXiv, 2019)Sudden gains are large and stable changes on an outcome variable between consecutive measurements, for example during a psychological intervention with multiple assessments. Researching these occurrences could help understand ... -
Reducing waste in the NHS: an overview of the literature and challenges for the nursing profession
(2016-04-20)Waste in the NHS is estimated to account for 20% of health expenditure. This article examines the literature on reducing waste, analyses some approaches to waste reduction, and identifies the role that nurses and other ... -
ROB-MEN: a tool to assess risk of bias due to missing evidence in network meta-analysis
(2021-11)Selective outcome reporting and publication bias threaten the validity of systematic reviews and meta-analyses and can affect clinical decision-making. A rigorous method to evaluate the impact of this bias on the results ... -
Sham sleep feedback delivered via actigraphy biases daytime symptom reports in people with insomnia: Implications for insomnia disorder and wearable devices
(2018-07)This study investigated whether providing sham feedback about sleep to individuals with insomnia influenced daytime symptom reports, sleep‐related attentional bias and psychomotor vigilance. Sixty‐three participants meeting ... -
Successful recruitment to trials: findings from the SCIMITAR+ Trial
(2018-01-19)Background: Randomised controlled trials (RCT) can struggle to recruit to target on time. This is especially the case with hard to reach populations such as those with severe mental ill health. The SCIMITAR+ trial, a trial ... -
Synthesizing cross-design evidence and cross-format data using network meta-regression
(2022-03)In network meta-analysis (NMA), we synthesize all relevant evidence about health outcomes with competing treatments. The evidence may come from randomized controlled trials (RCT) or non-randomized studies (NRS) as individual ... -
A Systematic Review of the Reporting Quality of Observational Studies That Use Mediation Analyses
(2022-02)Mediation analysis is a common statistical method used to investigate mechanisms of health exposure and interventions. The reporting quality of mediation studies used in randomised controlled trials has been considered ... -
Using local communities to establish geographical boundaries for case studies
(2019-02)Background Case studies are widely used in the social sciences to explore complex phenomena in natural settings. Applying boundaries is vital to ensure cases are easily identifiable and similar enough to be treated as ... -
Vitruvian plot: a visualisation tool for multiple outcomes in network meta-analysis
(2022-05)Objective A network meta-analysis (NMA) usually assesses multiple outcomes across several treatment comparisons. The Vitruvian plot aims to facilitate communication of multiple outcomes from NMAs to patients and ... -
The wh-questions of network meta-analyses
(2019-10)Currently, network meta-analyses (NMAs) are the only technique that allow us to compare and rank numerous treatments across trials. Evidence produced by NMAs relies on pooled data from both direct and indirect comparisons ... -
When Deploying Predictive Algorithms, Are Summary Performance Measures Sufficient?
(2020-01)The last decade’s growth in artificial intelligence, machine learning, and statistical methods for high-dimensional data has driven a zeitgeist of prediction (or forecasting) in medicine and psychiatry. Algorithms for ... -
A year in statistics—the view from the trenches
(2020-01)Editorial: Last year we launched the EBM Methods Verdicts as part of an attempt to keep on top of developments in statistics that will impact on the way we do research.1 2 We focused on statistical methods and in particular ...