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Online Open Neuroimaging Mass Meta-Analysis with a Wiki [chapter]

Finn Årup Nielsen, Matthew J. Kempton, Steven C. R. Williams
2015 Lecture Notes in Computer Science  
We describe a system for meta-analysis where a wiki stores numerical data in a simple comma-separated values format and a web service performs the numerical statistical computation.  ...  We initially apply the system on multiple meta-analyses of structural neuroimaging data results.  ...  we present a simple system that allows for mass meta-analysis of numerical data presented as comma-separated values (CSV) in a standard MediaWiki-based wiki, -the Brede Wiki: http://neuro.imm.dtu.dk/wiki  ... 
doi:10.1007/978-3-662-46641-4_19 fatcat:65uqdetshff3vhtadlowcvgpkm

Online open neuroimaging mass meta-analysis [article]

Finn Årup Nielsen, Matthew J. Kempton, Steven C. R. Williams
2012 arXiv   pre-print
We describe a system for meta-analysis where a wiki stores numerical data in a simple format and a web service performs the numerical computation.  ...  We initially apply the system on multiple meta-analyses of structural neuroimaging data results.  ...  we present a simple system that allows for mass meta-analysis of numerical data presented as comma-separated values (CSV) in a standard MediaWiki-based wiki, -the Brede Wiki: http://neuro.imm.dtu.dk/wiki  ... 
arXiv:1206.2742v1 fatcat:wj3bi25c3zb2nkalwmkcsdyyre

Does Feature Selection Improve Classification? A Large Scale Experiment in OpenML [chapter]

Martijn J. Post, Peter van der Putten, Jan N. van Rijn
2016 Lecture Notes in Computer Science  
We conduct a large scale experiment and present results on what algorithms and data sets benefit from this technique. Using meta-learning we can find out for which combinations this is the case.  ...  To complement a large set of meta-features, we introduce the Feature Selection Landmarkers, which prove useful for this task. All our experimental results are made publicly available on OpenML.  ...  Typical meta-features are often categorized as either simple, statistical, information theoretic or landmarkers.  ... 
doi:10.1007/978-3-319-46349-0_14 fatcat:5sppnyj4mrbtdbl7wr7swo563y

Page 2390 of Psychological Abstracts Vol. 90, Issue 8 [page]

2003 Psychological Abstracts  
Comparisons of the methods were con- ducted for real data from a 62-item test of reading ability and for computer- generated data for multiple unidimensional and multidimensional cases.  ...  A number of problems with these data suggest that they contain substantial measurement error, which biases conven- tional statistical estimators toward a finding of little or no effect of prices on behavior  ... 

A microsoft-excel based tool for running and critically appraising simple network meta-analyses using winbugs – an overview and application

S.T. Brown, C. Cameron, D.T. Grima, G. Wells
2014 Value in Health  
strate the application of our freely available Microsoft-Excel based tool using an example of a network meta-analysis of anti-platelet agents in patients scheduled for percutaneous coronary inteventions  ...  more transparent critical appraisal of network meta-analyses.  ...  Because diagnostic testing for narcolepsy is not normally repeated, objective evidence of a diagnosis would be absent for many patients in a time-limited data set.  ... 
doi:10.1016/j.jval.2014.03.1179 fatcat:deeuo5l6o5blzehfomgqqdl42q

Versatile and Efficient Meta-Learning Architecture: Knowledge Representation and Management in Computational Intelligence

Krzysztof Grabczewski, Norbert Jankowski
2007 2007 IEEE Symposium on Computational Intelligence and Data Mining  
This article presents requirements and their motivations for an advanced data mining system, efficient not only in model construction for given data, but also in meta-learning.  ...  There are many data mining systems derived from machine learning, neural network, statistics and other fields. Most of them are dedicated to some particular algorithms or applications.  ...  A general data analysis framework must provide some standard methods for statistical significance testing, and reveal open infrastructure for further extensions.  ... 
doi:10.1109/cidm.2007.368852 dblp:conf/cidm/GrabczewskiJ07 fatcat:kv2u4jst7zbmrfvlsloautva2q

A mode-based meta-model for the frequency response functions of uncertain structural systems

L. Pichler, H.J. Pradlwarter, G.I. Schuëller
2009 Computers & structures  
The meta-model is supposed to provide a computationally fast solution for the eigenvalue problem, which needs to be solved for each set of random structural input parameters.  ...  In this work a meta-model is presented to approximate the eigenfrequencies and mode shapes to describe the FRFs.  ...  Mass-spring-structure -truss The meta-model for the modal quantities is used to investigate the FRF statistics for the simple mass-spring structure shown in Fig. 4 .  ... 
doi:10.1016/j.compstruc.2008.12.013 fatcat:cpspblzzt5frbpun4kn7y2hoq4

GWAMA: software for genome-wide association meta-analysis

Reedik Mägi, Andrew P Morris
2010 BMC Bioinformatics  
The software incorporates a variety of error trapping facilities, and provides a range of meta-analysis summary statistics.  ...  Although statistical software analysis packages incorporate routines for meta-analysis, they are ill equipped to meet the challenges of the scale and complexity of data generated in genome-wide association  ...  Inga Prokopenko for helpful suggestions regarding software implementation. Statistical analysis routines implemented in GWAMA utilised ALGLIB libraries made available through http://www.alglib.net.  ... 
doi:10.1186/1471-2105-11-288 pmid:20509871 pmcid:PMC2893603 fatcat:hb2y22ijajcgbbbaswlroykxoy

Page 22 of Psychological Abstracts Vol. 79, Issue 1 [page]

1992 Psychological Abstracts  
Simple approaches for operationalizing the pre- scriptions for post hoc tests of interactions with standard statistical computer packages are provided.  ...  As CFA may also be part of a more complex structure, for example, in latent path analysis, where CFA usually is employed as measure- ment model for the latent variables, the author considers effects of  ... 

Page 38 of Journal of Systems Management Vol. 21, Issue 6 [page]

1970 Journal of Systems Management  
Once the required frequency components have been estimated, they are tested for statistical significance (this is simple since the esti- mate of the power of each component is distributed as chi-square  ...  For example, if sales of a particular prod- uct are increasing by a fixed amount each time pe- riod, each new point should be used in conjunction with the past data to obtain a better estimate of the trend  ... 

Meta-stable Memory in an Artificial Immune Network [chapter]

Mark Neal
2003 Lecture Notes in Computer Science  
The potential of the algorithm as a tool for multivariate data analysis is also explored.  ...  The algorithm demonstrates the ability of these types of network to produce meta-stable structures representing populated regions of the antigen space.  ...  A selection of these experiments are presented here using a simple graph-layout algorithm to present results, and principal component plots (PCA) to highlight equivalent structure within data sets.  ... 
doi:10.1007/978-3-540-45192-1_17 fatcat:f4wxf73wtfdxbn2ylug44xno44

Improved Dataset Characterisation for Meta-learning [chapter]

Yonghong Peng, Peter A. Flach, Carlos Soares, Pavel Brazdil
2002 Lecture Notes in Computer Science  
Totally 15 measures are proposed to describe the structure of a decision tree.  ...  This paper presents new measures, based on the induced decision tree, to characterise datasets for meta-learning in order to select appropriate learning algorithms.  ...  We propose, based on above notations, to describe decision tree in term of the following three aspects: a) outer-profile of tree; b) statistic for intra-structure: including tree levels and branches; c  ... 
doi:10.1007/3-540-36182-0_14 fatcat:sklygj6r45cezlw7ibjdjwdpqu

Multilevel models for social networks: Hierarchical Bayesian approaches to exponential random graph modeling

Andrew J. Slaughter, Laura M. Koehly
2016 Social Networks  
to much more complicated structures than simple graphs.  ...  As a very simple example, we might be interested in testing hypotheses related to structural entrainment -modeling similarity, differences, and variance in micro-level structural features as a function  ... 
doi:10.1016/j.socnet.2015.11.002 fatcat:gzgoraxppragxkewiq5ajgl7jy

Usefulness of bevacizumab-induced hypertension in patients with metastatic colorectal cancer: an updated meta-analysis

Chun-Jing Zhang, Shu-Ying Zhang, Chun-Di Zhang, Chun-Rong Lin, Xue-Yan Li, Qiu-Yan Li, Hai-Tao Yu
2018 Aging  
TITLE ABSTRACT Structured summary 2 Provide a structured summary including, as applicable: background; objectives; data sources; study eligibility criteria, participants, and interventions; study appraisal  ...  Section/topic # Checklist item Reported on section TITLE Title 1 Identify the report as a systematic review, meta-analysis, or both.  ...  Objective response rate; Progression-free survival; Overall survival; Figure 3 Results of individual studies 20 For all outcomes considered (benefits or harms), present, for each study: (a) simple summary  ... 
doi:10.18632/aging.101478 pmid:29969436 pmcid:PMC6046235 fatcat:pwwbiak7yjgdnbe7nrlvzhojna

Standardization In Fmri Data Processing — From Data To Software

Horea-Ioan
2018 Zenodo  
Slide Presentation on the topic of state-of-the-art fMRI data processing and standardization, and its applicability in the context of small animal imaging at the Animal Imaging Center of the ETH Zurich  ...  for Biomedical Engineering, ETH and University of Zürich Standardization in fMRI Data Processing -From Data to Software Relevance Meta/Data Formats Software References Data structures, and  ...  Data Files CSV -Comma Separated Values Simple, universally understood plain text file. A Few formats, based on transparency, adoption, openness, losslessness.  ... 
doi:10.5281/zenodo.1304479 fatcat:5pafgf2w2ncrxlp2gwmeao73cm
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