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Simon Ĺ uster; Timothy Baldwin; Karin Verspoor – Research Synthesis Methods, 2024
Existing systems for automating the assessment of risk-of-bias (RoB) in medical studies are supervised approaches that require substantial training data to work well. However, recent revisions to RoB guidelines have resulted in a scarcity of available training data. In this study, we investigate the effectiveness of generative large language…
Descriptors: Medical Research, Safety, Experimental Groups, Control Groups
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Yoneoka, Daisuke; Omae, Katsuhiro; Henmi, Masayuki; Eguchi, Shinto – Research Synthesis Methods, 2023
The number of clinical prediction models sharing the same prediction task has increased in the medical literature. However, evidence synthesis methodologies that use the results of these prediction models have not been sufficiently studied, particularly in the context of meta-analysis settings where only summary statistics are available. In…
Descriptors: Prediction, Task Analysis, Medical Research, Outcomes of Treatment
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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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Siemens, Waldemar; Meerpohl, Joerg J.; Rohe, Miriam S.; Buroh, Sabine; Schwarzer, Guido; Becker, Gerhild – Research Synthesis Methods, 2022
Using the Hartung-Knapp method and 95% prediction intervals (PIs) in random-effects meta-analyses is recommended by experts but rarely applied. Therefore, we aimed to reevaluate statistically significant meta-analyses using the Hartung-Knapp method and 95% PIs. In this methodological study, three databases were searched from January 2010 to July…
Descriptors: Cancer, Meta Analysis, Medical Research, Patients
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Noma, Hisashi; Hamura, Yasuyuki; Sugasawa, Shonosuke; Furukawa, Toshi A. – Research Synthesis Methods, 2023
Network meta-analysis has played an important role in evidence-based medicine for assessing the comparative effectiveness of multiple available treatments. The prediction interval has been one of the standard outputs in recent network meta-analysis as an effective measure that enables simultaneous assessment of uncertainties in treatment effects…
Descriptors: Intervals, Meta Analysis, Evidence Based Practice, Comparative Analysis
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Liu, Shifeng; Bourgeois, Florence T.; Dunn, Adam G. – Research Synthesis Methods, 2022
A substantial proportion of trial registrations are not linked to corresponding published articles, limiting analyses and new tools. Our aim was to develop a method for finding articles reporting the results of trials that are registered on ClinicalTrials.gov when they do not include metadata links. We used a set of 27,280 trial registration and…
Descriptors: Medical Research, Web Sites, Identification, Computational Linguistics
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Vernon, Marlo M.; Yang, Frances M. – Research in Higher Education, 2023
The aim of this study is to profile academic institutions (n = 127) based on publications, citations in the top 10% of journals, patent citations in Food and Drug Administration (FDA) approvals, clinical trials with uploaded results, contributions to clinical practice guidelines, awarded patents, start-ups, and licenses generating income in…
Descriptors: Health Services, Citations (References), Classification, Public Health
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Pedder, Hugo; Boucher, Martin; Dias, Sofia; Bennetts, Margherita; Welton, Nicky J. – Research Synthesis Methods, 2020
Time-course model-based network meta-analysis (MBNMA) has been proposed as a framework to combine treatment comparisons from a network of randomized controlled trials reporting outcomes at multiple time-points. This can explain heterogeneity/inconsistency that arises by pooling studies with different follow-up times and allow inclusion of studies…
Descriptors: Simulation, Randomized Controlled Trials, Meta Analysis, Comparative Analysis
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Borenstein, Michael; Higgins, Julian P. T.; Hedges, Larry V.; Rothstein, Hannah R. – Research Synthesis Methods, 2017
When we speak about heterogeneity in a meta-analysis, our intent is usually to understand the substantive implications of the heterogeneity. If an intervention yields a mean effect size of 50 points, we want to know if the effect size in different populations varies from 40 to 60, or from 10 to 90, because this speaks to the potential utility of…
Descriptors: Meta Analysis, Effect Size, Intervention, Prediction
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Nordin, Andrew D.; Dufek, Janet S. – Research Quarterly for Exercise and Sport, 2019
Purpose: Overuse injuries are common in sport, but complete understanding of injury risk factors remains incomplete. Although biomechanical studies frequently examine musculoskeletal injury mechanisms, human movement variability studies aim to better understand neuromotor functioning, with proposed connections between overuse injury mechanisms and…
Descriptors: Injuries, Physical Activities, Physiology, Team Sports
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Wolfe, Christopher R.; Widmer, Colin L.; Torrese, Christine V.; Dandignac, Mitchell – Journal of Learning Analytics, 2018
We developed a method for using Coh-Metrix to automatically analyze tutorial dialogues. Coh-Metrix, a web-based tool for automatically evaluating text, is freely available to researchers. We applied the method to 190 tutorial dialogues between women and "BRCA Gist" from two experiments. "BRCA Gist" is an intelligent tutoring…
Descriptors: Data Analysis, Risk, Cancer, Females
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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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Loye, David – Futurist, 1979
Suggests that logical thought and intuitive inspiration may contribute to forming pictures of the future on which to base plans and decisions. Also outlines a method for using intuition in everyday planning. Journal available from World Future Society, Post Office Box 30369, Bethesda Branch, Washington, D.C. 20014. (Author/DB)
Descriptors: Cognitive Development, Futures (of Society), Logic, Logical Thinking