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Konstantina Chalkou; Tasnim Hamza; Pascal Benkert; Jens Kuhle; Chiara Zecca; Gabrielle Simoneau; Fabio Pellegrini; Andrea Manca; Matthias Egger; Georgia Salanti – Research Synthesis Methods, 2024
Some patients benefit from a treatment while others may do so less or do not benefit at all. We have previously developed a two-stage network meta-regression prediction model that synthesized randomized trials and evaluates how treatment effects vary across patient characteristics. In this article, we extended this model to combine different…
Descriptors: Medical Research, Outcomes of Treatment, Risk, Randomized Controlled Trials
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Bengough, Theresa; Sommer, Isolde; Hannes, Karin – Research Synthesis Methods, 2023
Contextual factors such as cultural values and traditions impact on implementation processes of healthcare interventions. It is one of the reasons why local stakeholders may decide to role out a programme differently from how it has originally been developed or described in scientific literature. This can result in different but most likely more…
Descriptors: Context Effect, Evaluation Methods, Cultural Influences, Intervention
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Sutton, Anthea; O'Keefe, Hannah; Johnson, Eugenie Evelynne; Marshall, Christopher – Research Synthesis Methods, 2023
The Systematic Review Toolbox aims provide a web-based catalogue of tools that support various tasks within the systematic review and wider evidence synthesis process. Identifying publications surrounding specific systematic review tools is currently challenging, leading to a high screening burden for few eligible records. We aimed to develop a…
Descriptors: Search Strategies, Automation, Evidence, Synthesis
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Porgo, Teegwendé V.; Norris, Susan L.; Salanti, Georgia; Johnson, Leigh F.; Simpson, Julie A.; Low, Nicola; Egger, Matthias; Althaus, Christian L. – Research Synthesis Methods, 2019
Mathematical modeling studies are increasingly recognised as an important tool for evidence synthesis and to inform clinical and public health decision-making, particularly when data from systematic reviews of primary studies do not adequately answer a research question. However, systematic reviewers and guideline developers may struggle with…
Descriptors: Mathematical Models, Evidence, Glossaries, Medical Research
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Noma, Hisashi; Gosho, Masahiko; Ishii, Ryota; Oba, Koji; Furukawa, Toshi A. – Research Synthesis Methods, 2020
Network meta-analysis has been gaining prominence as an evidence synthesis method that enables the comprehensive synthesis and simultaneous comparison of multiple treatments. In many network meta-analyses, some of the constituent studies may have markedly different characteristics from the others, and may be influential enough to change the…
Descriptors: Networks, Meta Analysis, Evidence, Comparative Analysis
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Naicker, Ramona – Education for Information, 2022
Racial bias in research impacts a study's relevancy, validity and reliability, though presently this aspect is not addressed in critical appraisal tools, and consequently appraisers may not take racial bias into account when assessing a paper's quality. Drawing on critical race theory (CRT) tenets that racism is ubiquitous and race a social…
Descriptors: Racism, Critical Race Theory, Disproportionate Representation, Minority Groups
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Stevens, John W.; Fletcher, Christine; Downey, Gerald; Sutton, Anthea – Research Synthesis Methods, 2018
A network meta-analysis allows a simultaneous comparison between treatments evaluated in randomised controlled trials that share at least one treatment with at least one other study. Estimates of treatment effects may be required for treatments across disconnected networks of evidence, which requires a different statistical approach and modelling…
Descriptors: Meta Analysis, Network Analysis, Comparative Analysis, Outcomes of Treatment
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Watkins, Claire; Bennett, Iain – Research Synthesis Methods, 2018
In studies with time-to-event data, outcomes may be reported as hazard ratios (HR) or binomial counts/proportions at a specific time point. If the intent is to synthesise evidence by performing a meta-analysis or network meta-analysis (NMA) using the HR as the measure of treatment effect, studies that only report binomial data cannot be included…
Descriptors: Meta Analysis, Medical Research, Network Analysis, Outcomes of Treatment
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Cutler, David M.; Meara, Ellen; Richards-Shubik, Seth – Journal of Human Resources, 2012
We develop a model of induced innovation that applies to medical research. Our model yields three empirical predictions. First, initial death rates and subsequent research effort should be positively correlated. Second, research effort should be associated with more rapid mortality declines. Third, as a byproduct of targeting the most common…
Descriptors: Evidence, Innovation, Medical Services, Infants
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Langer, Menachem; Langer, Nieli – Educational Gerontology, 2009
The goal of education and research in all disciplines is to develop critical thinking skills as a method for improving clinical decisionmaking. The emphasis on critical thinking is nothing new and can be traced back to ancient times when Socrates challenged his students to think about their knowledge, beliefs, and behaviors by interrogating them.…
Descriptors: Critical Thinking, Decision Making, Evidence, Medical Research