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*  Risk score could lead to better diagnosis of the metabolic syndrome in children
To do this, they used factor analysis, a statistical approach that looks for a behind-the-scenes factor that helps determine ... scoring system did better than the usual system at predicting which adolescents had elevations in cardiovascular risk factors ...
  http://www.rxpgnews.com/research/Risk-score-could-lead-to-better-diagnosis-of-the-metabolic-syndrome-in-children_562391.shtml
*  Traditional Ethnic Diets, Genetic Pre-Susceptibility and Gene-Diet Interaction Associations with Type 2 Diabetes and Risk...
Statistical approaches included confirmatory factor analysis (CFA) to calculate dietary adherence, Cox proportional hazards ... The testing of the proglucagon gene-diet acculturation interaction in the risk factors as well as prevalence and incidence of ... This shift may affect distinct ethnicities differently due to some unknown genetic factor. A recent study found that genetic ... development and risk factors of type 2 diabetes. The genetic association between the proglucagon gene and diabetes prevalence ...
  https://digital.lib.washington.edu/researchworks/handle/1773/20522
*  Retrospective analysis of 104 histologically proven adult brainstem gliomas: clinical symptoms, therapeutic approaches and...
70 by factor 6.7, with grade III/IV gliomas by the factor 1.8 and for age ≥ 40 by the factor 1.7. External beam radiation ... Data about clinical course of disease, neuropathological findings and therapeutic approaches were analyzed. The median age at ... On multivariate analysis the relative risk to die increased with a KPS ≤ ... prognostic and therapeutic factors in a large series of histologically proven brainstem gliomas. Between 1997 and 2007, 104 ...
  https://bmccancer.biomedcentral.com/articles/10.1186/1471-2407-14-115
*  Confirmatory factor analysis - Wikipedia
EFA is sometimes reported in research when CFA would be a better statistical approach. It has been argued that CFA can be ... Gatignon, H. (2010). Confirmatory Factor Analysis in Statistical analysis of management data. DOI: 10.1007/978-1-4419-1270-1_4 ... In statistics, confirmatory factor analysis (CFA) is a special form of factor analysis, most commonly used in social research. ... Both exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) are employed to understand shared variance of ...
  https://en.wikipedia.org/wiki/Confirmatory_factor_analysis
*  A Common Factor Approach to Spatial Heterogeneity in Agricultural Productivity Analysis
We motivate the case for technology heterogeneity in agricultural production and present statistical tests indicating ... Our results support the specification of a common factor model in intercountry production analysis, highlight the rejection of ... Our empirical approach deals with these difficulties by adopting the Pesaran (2006) Common Correlated Effects estimators, which ... parameter heterogeneity and the potential for heterogeneous Total Factor Productivity (TFP) processes across countries. ...
  https://ideas.repec.org/p/pra/mprapa/15810.html
*  CiteSeerX - Search Results - Proceedings the 7th International Conference on Semantic Systems, I-SEMANTICS 2011, Graz, Austria,...
... is a novel approach to automated document indexing which is based on a statistical latent class model for factor analysis of ... is a novel approach to automated document indexing which is based on a statistical latent class model for factor analysis of ... A Structural Approach to Operational Semantics by G. D. Plotkin , 1981 "... Syntax of a very simple programming language called ... by James Z. Wang, Jia Li, Gio Wiederhold - IEEE Transactions on Pattern Analysis and Machine Intelligence , 2001 ...
  http://citeseerx.ist.psu.edu/search?q=Proceedings+the+7th+International+Conference+on+Semantic+Systems%2C+I-SEMANTICS+2011%2C+Graz%2C+Austria%2C+September+7-9%2C+2011
*  Bab 5 - Pengukuran, Kesahan Dan Kebolehpercayaan | Factor Analysis | Statistical Analysis
CONFIRMATORY FACTOR ANALYSIS There are two main approaches to factor analysis that you will see described.  Exploratory factor ... for an underlying process by using observed variables.FACTOR ANALYSIS   The purpose of using factor analysis is to 1) ... Report statistical analysis. Basic element of analysis is numbers Report rich narrative, individual interpretation. Basic ... In terms of communalities.APPROPRIATENESS OF FACTOR ANALYSIS   In order to ensure the appropriateness of factor analysis. ...
  https://www.scribd.com/document/260207469/Bab-5-Pengukuran-Kesahan-Dan-Kebolehpercayaan
*  Systems Biology of Tomato Fruit Development: Combined Transcript, Protein, and Metabolite Analysis of Tomato Transcription...
Statistical analysis of differential gene expression was carried out using the linear model-based approach developed by Smyth ( ... 5A). Interestingly, the rin transcription factor showed a positive correlation with another transcription factor (8.4.16.5; ... However, to date, relatively few analyses have combined multilevel approaches (Carrari et al., 2006; Armengaud et al., 2009; ... 2005) Extension of the visualization tool MapMan to allow statistical analysis of arrays, display of corresponding genes, and ...
  http://www.plantphysiol.org/content/157/1/405
*  Exploratory Factor Analysis - StatWiki
Exploratory Factor Analysis (EFA) is a statistical approach for determining the correlation among the variables in a dataset. ... when doing factor analysis. The point of a factor analysis is to show that you have distinct constructs (discriminant validity ... Factoring methods. There are three main methods for factor extraction. Principal Component Analysis (PCA). Use for a softer ... LESSON: Exploratory Factor Analysis. Do you know of some citations that could be used to support the topics and procedures ...
  http://statwiki.kolobkreations.com/index.php?title=Exploratory_Factor_Analysis&oldid=816126
*  Exploratory Factor Analysis - StatWiki
Exploratory Factor Analysis (EFA) is a statistical approach for determining the correlation among the variables in a dataset. ... Factoring methods. There are three main methods for factor extraction. Principal Component Analysis (PCA). Use for a softer ... LESSON: Exploratory Factor Analysis. Do you know of some citations that could be used to support the topics and procedures ... Exploratory Factor Analysis. From StatWiki. Revision as of 11:46, 21 March 2016 by Jgaskin (Talk , contribs) (→‎Discriminant ...
  http://statwiki.kolobkreations.com/index.php?title=Exploratory_Factor_Analysis&oldid=75439
*  D. J. Bartholomew - Wikipedia
Latent Variable Models and Factor Analysis, 1987, 2nd edn (jtly) 1999; Uncertain Belief, 1996; The Statistical Approach to ... the quantitative approach to human affairs, Harmondsworth Middlesex: Penguin books (Dutch translation, 1971) (jtly) Statistical ... David John Bartholomew FBA (born 6 August 1931) is a British statistician who was President of the Royal Statistical Society ... Bartholomew was President of the Royal Statistical Society, 1993-95 (Hon. Sec., 1976-82; Treas., 1989-93). He was Vice- ...
  https://en.wikipedia.org/wiki/D._J._Bartholomew
*  The Age-Specific Quantitative Effects of Metabolic Risk Factors on Cardiovascular Diseases and Diabetes: A Pooled Analysis
... for each risk factor and examined effect modification by age or other factors, using random effects models. Results Across all ... Each metabolic risk factor was robustly related to CVD. At the baseline age of 55-64 years, the RR for 10 mmHg higher SBP was ... For all risk factors, proportional effects declined with age, were generally consistent by sex, and differed by region in only ... Conclusion Our results provide robust, comparable and precise estimates of the effects of major metabolic risk factors on CVD ...
  http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0065174
*  Xpert search results for Statistics - an intuitive introduction : int
... the statistical basis for latent variable analysis, including exploratory and confirmatory factor analysis and latent class ... Presents quantitative approaches to measurement in the psychological and social sciences. Topics include the principles of ... Presents the foundations of statistical inference, including the concepts of parameters and estimates and the use of the ... Presents the foundations of statistical inference, including the concepts of parameters and estimates and the use of the ...
  https://www.nottingham.ac.uk/xpert/scoreresults.php?keywords=Statistics%20-%20an%20intuitive%20introduction%20:%20int&start=1800&end=1820
*  Amphibian and reptile road-kills on tertiary roads in relation to landscape structure: using a citizen science approach with...
... which hamper proper statistical analyses of underlying factors for road-kills [35]. The aim of the current study was to test a ... Statistical analyses. First, monthly variations of road-kills per year were analysed using Chi squared tests. Second, to find ... it is based on Austrian standard staff costs and is calculated for investigating the factor land-cover only. If other factors ... exist in establishing such a citizen science monitoring approach [36]. To test this approach, we used a citizen science ...
  https://link.springer.com/article/10.1186%2Fs12898-017-0134-z
*  A novel integrated gene coexpression analysis approach reveals a prognostic three-transcription-factor signature for glioma...
In the present study, we designed a novel integrated gene coexpression analysis approach, which involves differential ... With so far the least biomarkers, our approach not only provides a novel glioma prognostic molecular classification scheme, but ... We revealed a novel three-transcription-factor signature including AHR, NFIL3 and ZNF423 for glioma molecular subtypes. This ... coexpression and differential regulation analysis (DCEA and DRA), to investigate glioma prognostic biomarkers and molecular ...
  https://bmcsystbiol.biomedcentral.com/articles/10.1186/s12918-016-0315-y
*  Nodular thyroid disease in the elderly: novel molecular approaches for the diagnosis of malignancy | SpringerLink
Falvo L, Catania A, Sorrenti S et al (2004) Prognostic significance of the age factor in thyroid cancer: statistical analysis. ... Baldini E, Tuccilli C, Prinzi N et al (2013) New molecular approaches in the diagnosis and prognosis of thyroid cancer patients ... Here, we will attempt to review new molecular approaches, which are currently being exploited in order to ameliorate the ... Bongiovanni M, Spitale A, Faquin WC et al (2012) The Bethesda system for reporting thyroid cytopathology: a meta-analysis. Acta ...
  https://link.springer.com/article/10.1007%2Fs40520-016-0654-y
*  Final Version of 2009 AJCC Melanoma Staging and Classification
3 Statistical analyses of the AJCC Melanoma Staging Database primarily used methods similar to those for survival analysis. ... independent of other factors. Furthermore, this factor was among the most predictive independent factors of diminished survival ... The statistical approaches and data dictionary definitions are virtually the same as described in our previous publication.1 ... Multivariate Cox Regression Analysis of Pathologic Factors by T Category for Stage I and II Melanoma Where Mitotic Rate Data ...
  http://pubmedcentralcanada.ca/pmcc/articles/PMC2793035/?lang=en-ca
*  Assessing the continuum | Philosophical Transactions of the Royal Society B: Biological Sciences
... particularly those based on factor analysis) will be discussed from a dynamical perspective. An alternative approach to ... The standard statistical tools used in psychology do not.. The techniques used to define and model dynamical systems in the ... The dimensions of factor analysis are supposed to exist a priori, not to emerge under selected conditions. ... Taxonomies based on factor analysis and other statistically derived groupings do not provide any obvious resonance with the ...
  http://rstb.royalsocietypublishing.org/content/373/1744/20170168
*  Cattell-Horn-Carroll theory - Wikipedia
... and the application of factor analysis, a statistical technique which uncovers relationships between variables and the ... Based on a large body of research, spanning over 70 years, the theory was developed using the psychometric approach, the ... Child, D. (2006). The Essentials of Factor Analysis, 3rd edition. Bloomsbury Academic Press. Cohen, R. J., & Swerdlik, M. E. ( ... Willis, J. O., Dumont, R., & Kaufman, A. S. Factor-analytic models of intelligence. In Sternberg, R. J., & Kaufman, S. B. (Eds ...
  https://en.wikipedia.org/wiki/Cattell%E2%80%93Horn%E2%80%93Carroll_theory
*  Effects of a Water-Soluble Cinnamon Extract on Body Composition and Features of the Metabolic Syndrome in Pre-Diabetic Men and...
In all analyses, an intent-to-treat approach was used and significance was accepted at P < 0.05. Subjects in the Cinnulin PF® ... in men and women with the metabolic syndrome and suggest that this naturally-occurring spice can reduce risk factors associated ... Additionally, within-group analyses uncovered small, but statistically significant decreases in body fat (-0.7%: 37.9 ± 9.2% [ ... The primary statistical analyses consisted of two factor (group × time), repeated-measures ANOVA for between group differences ...
  https://jissn.biomedcentral.com/articles/10.1186/1550-2783-3-2-45
*  Dimensional models of personality disorders - Wikipedia
... led to consideration of alternative approach's. The development of factor analysis as a popular statistical technique in ... The Five-Factor approach also resolves previous anomalies in factor analyses of personality disorders, which makes it a more ... Empirical support for this approach comes from factor analyses that include the Big Five factors and evaluative terms. These ... The second approach involves identification of DSM disorder traits by means of factor analysis to show underlying dimensions of ...
  https://en.wikipedia.org/wiki/Dimensional_models_of_personality_disorders
*  Computational analysis of the interaction between transcription factors and the predicted secreted proteome of the yeast...
Most of the transcription factors are related to responses to stress such as drug, acid and heat resistance, as well as ... A public database of K. lactis secreted proteins and their transcription factors are presented. It consists of 109 ORFs and 23 ... we predicted protein subcellular locations and correlated the resulting extracellular secretome with the transcription factors ... transcription factors. A graph created from this database shows 134 nodes and 884 edges, suggesting a vast number of ...
  https://bmcbioinformatics.biomedcentral.com/articles/10.1186/1471-2105-10-194
*  Science Forum Series Archive | SCST | Chapman University
Statistical applications presented will include structural equation modeling, factor and second-order factor analysis, MTMM, ... She will also discuss certain approaches to modeling cancer growth and immune system interactions, and treatment approaches ... March 22, 2012 - Clean Water? A 40-Year Retrospective Analysis of Southern California Coastal Ocean Dr. Karen Setty. Science ... Analysis across species in mice, monkeys and humans showed that CTSB is upregulated in plasma with exercise. In humans, changes ...
  https://www.chapman.edu/scst/conferences-and-events/past-events/science-forum-archives.aspx
*  Glossary of terms - Research - University of South Australia
Factor Analysis. A statistical approach to find the most important combination of dependent variables to form an outcome ... and then tests for these using statistical approaches. If the statistical test provides a p value , 0.05, then the null ... Intention To Treat Analysis (ITT). Analysis which considers that everyone who begins the treatment is part of the trial, ... Organizational Factors. "Those factors or characteristics of the organization that influence the diffusion of innovations or ...
  http://www.unisa.edu.au/Research/Health-Research/Research/Allied-Health-Evidence/Resources/Glossary/
*  Self-report inventory - Wikipedia
Factor analysis uses statistical methods to organize groups of related items into subscales. Criterion-keyed inventories ... There are three major approaches to developing self-report inventories: theory-guided, factor analysis, and criterion-keyed. ... If the inventory includes items from different factors or constructs, the items can be mixed together or kept in groups. ...
  https://en.wikipedia.org/wiki/Self-report_inventory