25 papers · ranked by Valyu relevance
Byron C Wallace, Christopher H Schmid, Joseph Lau, Thomas A Trikalinos
'Thomas A Trikalinos'] Background Meta-analysis is increasingly used as a key source of evidence synthesis to inform clinical practice. The theory and statistical foundations of meta-analysis continually evolve, providing solutions to many new and challenging problems. In practice, most meta-analyses are performed in…
Daniel S. Quintana
Meta-analysis synthesizes a body of research investigating a common research question. Outcomes from meta-analyses provide a more objective and transparent summary of a research area than traditional narrative reviews. Moreover, they are often used to support research grant applications, guide clinical practice, and…
Branimir K. Hackenberger
Meta-analysis is a statistical tool that allows the analysis of results from various scientific studies, which are often not performed in the same place or using the same method. The data used in meta-analysis may be proprietary or may be obtained from literature or various databases. Meta-analysis is a crucial part of…
Nicholas Mikolajewicz, Svetlana V. Komarova
Basic life science literature is rich with information, however methodically quantitative attempts to organize this information are rare. Unlike clinical research, where consolidation efforts are facilitated by systematic review and meta-analysis, the basic sciences seldom use such rigorous quantitative methods. The…
Amin Haghnejad, Mahboobeh Farahati
Meta-analysis is the use of statistical methods to combine the results of individual studies to estimate the overall effect size for a specific outcome of interest. The direction and magnitude of this estimated effect, along with its confidence interval, provide insights into the phenomenon or relationship being…
Weiyuntian Dai, Yonglin Yi, Anqi Lin, Chaozheng Zhou + 4 more
Meta-analysis is a common statistical method used to summarize multiple studies that cover the same topic. It can provide less biased results and explain heterogeneity between studies. Although there exists a variety of meta-analysis softwares, they are rarely both convenient to use and capable of comprehensive…
Flavien Quijoux, Charles Truong, Aliénor Vienne-Jumeau, Laurent Oudre + 5 more
Meta-analysis is a data aggregation method that establishes an overall and objective level of evidence based on the results of several studies. It is necessary to maintain a high level of homogeneity in the aggregation of data collected from a systematic literature review. However, the current tools do not allow a…
George Karabatsos, Elizabeth Talbott, Stephen G. Walker
In a meta-analysis, it is important to specify a model that adequately describes the effect-size distribution of the underlying population of studies. The conventional normal fixed-effect and normal random-effects models assume a normal effect-size population distribution, conditionally on parameters and covariates.…
Zhiyong Zhang, Kaifeng Jiang, Haiyan Liu, In‐Sue Oh
To answer the call of introducing more Bayesian techniques to organizational research (e.g., Kruschke, Aguinis, & Joo, 2012; Zyphur & Oswald, 2013), we propose a Bayesian approach for meta-analysis with power prior in this article. The primary purpose of this method is to allow meta-analytic researchers to control the…
Belén Fernández-Castilla, Sameh Said-Metwaly, Rodrigo S. Kreitchmann, Wim Van Den Noortgate
'Wim Van Den Noortgate'] Meta-analysis is often recognized as the highest level of evidence due to its notable advantages. Therefore, ensuring the precision of its findings is of utmost importance. Insufficient reporting in primary studies poses challenges for meta-analysts, hindering study identification, effect size…
Nathan Lawrentschuk, Jonathan McCall, Ulrich Güller
Meta-analyses are an essential tool of clinical research. Meta-analyses of individual randomized controlled trials frequently constitute the highest possible level of scientific evidence for a given research question and allow surgeons to rapidly gain a comprehensive understanding of an important clinical issue.…
Gorm E. Shackelford, Philip A. Martin, Amelia S. C. Hood, Alec P. Christie + 2 more
Meta-analysis is often used to make generalizations across all available evidence at the global scale. But how can these global generalizations be used for evidence-based decision making at the local scale, if only the local evidence is perceived to be relevant to a local decision? We show how an interactive method of…
Frantis̆ek Bartos̆, Eric‐Jan Wagenmakers, Wolfgang Viechtbauer
Meta-analyses play a crucial part in empirical science, enabling researchers to synthesize evidence across studies and draw more precise and generalizable conclusions. Despite their importance, access to advanced meta-analytic methodology is often limited to scientists and students with considerable expertise in…
L.S. Le Clercq
Systematic reviews are critical summaries of the exiting literature on a given subject and, when combined with meta-analysis, provides a quantitative synthesis of evidence to direct and inform future research. Such reviews must, however, account for complex sources of between study heterogeneity and possible sources of…
Ulrich Knief, Wolfgang Forstmeier
When multiple studies on the same research question, or multiple analyses of the same dataset are summarized in a meta-analysis, our confidence intervals (CIs) are put to a relentless test of reliability. While we might hope that 95% of the CIs would contain the meta-analytic mean value (and therefore presumably also…
Alistair M. Senior, Wolfgang Viechtbauer, Shinichi Nakagawa
Meta-analyses are frequently used to quantify the difference in the average values of two groups (e.g., control and experimental treatment groups), but examine the difference in the variability (variance) of two groups. For such comparisons, the two relatively new effect size statistics, namely the log-transformed…
Vladimir Trkulja, Pero Hrabač
The last few days of March 2020 in Zagreb, Croatia, were anything but usual early spring days. By the end of February, first patients with COVID-19 infection were identified, and hospitals were preparing for the (expected) increased number of patients, while most of them were considerably damaged by two strong…
Colin Elliott, Aaron Shafer, Theresa Stotesbury
Estimating the time since deposition (TSD) of a bloodstain can provide important medico-legal information for crime scene investigation. Research in this area primarily investigates the degradation of either hemoglobin or genetic material over time. In this work, we present a comprehensive meta-analysis on bloodstain…
Ali Habibnia, Jonathan Gendron
In this paper, we conduct a simulation study to evaluate conventional meta-regression approaches (study-level random, fixed, and mixed effects) against seven methodology specifications new to meta-regressions that control joint heterogeneity in location and time (including a new one that we introduce). We…
Joseph Manning, Lev Sarkisov
With the continuously growing number of scientific articles on synthesis of nanomaterials, it becomes impossible for researchers to grasp and comprehend the landscape of synthetic protocols available for a particular material. The aim of this study is to explore the feasibility of extracting the collective knowledge on…
Paul Ralph, Sebastian Baltes
Literature Review Authors: ['Paul Ralph' 'Sebastian Baltes'] Confusion over different kinds of secondary research, and their divergent purposes, is undermining the effectiveness and usefulness of secondary studies in software engineering. This short paper therefore explains the differences between ad hoc review, case…
Authors not listed
Meta-GGA density functional theory (DFT) is an important method in ab initio materials modelling; however, its computational cost limits applicability for generating large datasets or simulating extended length and time scales, as necessary for modern materials discovery. Deorbitalization is a promising strategy to…
Maria H. Rasmussen, Jan H. Jensen
We test our meta-molecular dynamics (MD) based approach for finding low-barrier (<30 kcal/mol) reactions (SciPost Chem. 2021, 1, 003) on uni- and bimolecular reactions extracted from the barrier dataset developed by Grambow et al. (Scientific Data 2020, 7, 137). For unimolecular reactions the meta-MD simulations…
Authors not listed
Untargeted metabolomics is a powerful approach for exploring the chemical diversity and dynamics of biological systems. However, the types of questions that can be addressed depend not only on experimental design but also on the data processing and analysis workflows employed, many of which require advanced…
Eftychia Eva Kontou, Axel Walter, Oliver Alka, Julianus Pfeuffer + 5 more
Metabolomics experiments generate highly complex datasets, which are time and work-intensive, sometimes even error-prone if inspected manually. Therefore, new methods for automated, fast, reproducible, and accurate data processing and dereplication are required. Here, we present UmetaFlow, a computational workflow for…