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Best practices for multi-ancestry, meta-analytic transcriptome-wide association studies
The Global Biobank Meta-analysis Initiative (GBMI), through its diversity, provides a valuable opportunity to study population-wide and ancestry-specific genetic associations. However, with multiple ascertainment strategies and...
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Meta-QSAR
We investigate the learning of quantitative structure activity relationships (QSARs) as a case-study of meta-learning. This application area is of the highest societal importance, as it is a key step in the development of new...
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Deriving percentage study weights in multi-parameter meta-analysis models
Many meta-analysis models contain multiple parameters, for example due to multiple outcomes, multiple treatments or multiple regression coefficients. In particular, meta-regression models may contain multiple study-level...
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Meta-analysis

Building a foundation of marketing theory requires developing effective ways to aggregate research results. Meta-analyses that accumulate knowledge within a research domain is an important means for summarizing research...

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Meta-analysis

Building a foundation of marketing theory requires developing effective ways to aggregate research results. Meta-analyses that accumulate knowledge within a research domain is an important means for summarizing research...

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Autism and the right to education in the EU
Abstract: Introduction: The universal right to education for people with disabilities has been highlighted by the Universal Declaration on Human Rights and the Convention on the Rights of Persons with Disabilities. In this...
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Dynamic meta-analysis
BACKGROUND: Meta-analysis is often used to make generalisations across all available evidence at the global scale. But how can these global generalisations be used for evidence-based decision making at the local scale, if the...
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Autism and the right to education in the EU
Introduction:The universal right to education for people with disabilities has been highlighted by the Universal Declaration on Human Rights and the Convention on the Rights of Persons with Disabilities. In this paper, we mapped...
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Implementing informative priors for heterogeneity in meta-analysis using meta-regression and pseudo data.
Many meta-analyses combine results from only a small number of studies, a situation in which the between-study variance is imprecisely estimated when standard methods are applied. Bayesian meta-analysis allows incorporation of...
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Power analysis for random-effects meta-analysis
D Jackson, R Turner
Aug 17, 2017
One of the reasons for the popularity of meta-analysis is the notion that these analyses will possess more power to detect effects than individual studies. This is inevitably the case under a fixed-effect model. However, the...
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Nonlinear superchiral meta-surfaces

Circularly polarized light is incident on a nanostructured chiral meta-surface. In the nanostructured unit cells whose chirality matches that of light, superchiral light is forming and strong optical second harmonic...

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Nonlinear superchiral meta-surfaces

Circularly polarized light is incident on a nanostructured chiral meta-surface. In the nanostructured unit cells whose chirality matches that of light, superchiral light is forming and strong optical second harmonic...

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Ruthenium-catalyzed meta sulfonation of 2-phenylpyridines
A selective catalytic meta sulfonation of 2-phenylpyridines was found to occur in the presence of (arene)ruthenium(II) complexes upon reaction with sulfonyl chlorides. The 2-pyridyl group facilitates the formation of a stable...
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Nonlinear superchiral meta-surfaces
Circularly polarized light is incident on a nanostructured chiral meta-surface. In the nanostructured unit cells whose chirality matches that of light, superchiral light is forming and strong optical second harmonic generation...
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Ruthenium-catalyzed meta sulfonation of 2-phenylpyridines
A selective catalytic meta sulfonation of 2-phenylpyridines was found to occur in the presence of (arene)ruthenium(II) complexes upon reaction with sulfonyl chlorides. The 2-pyridyl group facilitates the formation of a stable...
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A Comparative Study of Meta-Heuristic and Conventional Search in Optimization of Multi-Dimensional Feature Selection
Algorithmic – based search approach is ineffective at addressing the problem of multi-dimensional feature selection for document categorization. This study proposes the use of meta heuristic based search approach for optimal...
Cerebellar atrophy in neurodegeneration-a meta-analysis.
INTRODUCTION: The cerebellum has strong cortical and subcortical connectivity, but is rarely taken into account for clinical diagnosis in many neurodegenerative conditions, particularly in the absence of clinical ataxia. The...
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Adjusting trial results for biases in meta-analysis
Flaws in the conduct of randomized trials can lead to biased estimation of the intervention effect. Methods for adjustment of within-trial biases in meta-analysis include the use of empirical evidence from an external collection...
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Meta-Parametric Design
Parametric modelling software often maintains an explicit history of design development in the form of a graph. However, as the graph increases in complexity it quickly becomes inflexible and unsuitable for exploring a wide...
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Predicting rice phenotypes with meta and multi-target learning
Abstract: The features in some machine learning datasets can naturally be divided into groups. This is the case with genomic data, where features can be grouped by chromosome. In many applications it is common for these...
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Meta-analysis of genome-wide association studies in African Americans provides insights into the genetic architecture of type 2 diabetes.
Maggie CY Ng, Daniel Shriner, Brian H Chen, Jiang Li, Wei-Min Chen, Xiuqing Guo, Jiankang Liu, Suzette J Bielinski, Lisa R Yanek, Michael A Nalls, Mary E Comeau, Laura J Rasmussen-Torvik, Richard A Jensen, Daniel S Evans, Yan V Sun, Ping An, Sanjay R Patel, Yingchang Lu, Jirong Long, Loren L Armstrong, Lynne Wagenknecht, Lingyao Yang, Beverly M Snively, Nicholette D Palmer, Poorva Mudgal, Carl D Langefeld, Keith L Keene, Barry I Freedman, Josyf C Mychaleckyj, Uma Nayak, Leslie J Raffel, Mark O Goodarzi, Y-D Ida Chen, Herman A Taylor, Adolfo Correa, Mario Sims, David Couper, James S Pankow, Eric Boerwinkle, Adebowale Adeyemo, Ayo Doumatey, Guanjie Chen, Rasika A Mathias, Dhananjay Vaidya, Andrew B Singleton, Alan B Zonderman, Robert P Igo, John R Sedor, FIND Consortium, Edmond K Kabagambe, David S Siscovick, Barbara McKnight, Kenneth Rice, Yongmei Liu, Wen-Chi Hsueh, Wei Zhao, Lawrence F Bielak, Aldi Kraja, Michael A Province, Erwin P Bottinger, Omri Gottesman, Qiuyin Cai, Wei Zheng, William J Blot, William L Lowe, Jennifer A Pacheco, Dana C Crawford, eMERGE Consortium, DIAGRAM Consortium, Elin Grundberg, MuTHER Consortium, Stephen S Rich, M Geoffrey Hayes, Xiao-Ou Shu, Ruth JF Loos, Ingrid B Borecki, Patricia A Peyser, Steven R Cummings, Bruce M Psaty, Myriam Fornage, Sudha K Iyengar, Michele K Evans, Diane M Becker, WH Linda Kao, James G Wilson, Jerome I Rotter, Michèle M Sale, Simin Liu, Charles N Rotimi, Donald W Bowden, MEta-analysis of type 2 DIabetes in African Americans Consortium
May 08, 2018
Type 2 diabetes (T2D) is more prevalent in African Americans than in Europeans. However, little is known about the genetic risk in African Americans despite the recent identification of more than 70 T2D loci primarily by...
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