Academic literature on the topic 'Methods of association and difference'
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Journal articles on the topic "Methods of association and difference"
Hashemipour, Sima, Zohreh Yazdi, and Azam Ghorbani. "Occupational Difference in Association of Poor Sleep Quality and Metabolic Syndrome: Differences between Workers and Employees." Sleep Disorders 2021 (September 17, 2021): 1–8. http://dx.doi.org/10.1155/2021/9947027.
Full textZhong, Hao-Jie, Hui-Xin Xie, Xiao-Min Luo, and Er-Hua Zhang. "Association between periodontitis and systemic lupus erythematosus: a meta-analysis." Lupus 29, no. 10 (July 7, 2020): 1189–97. http://dx.doi.org/10.1177/0961203320938447.
Full textMarangom, Cristiane, Viviani Souza Peruchi, Marta Assumpção de Andrada e. Silva, Irene Queiroz Marchesan, and Léslie Piccolotto Ferreira. "Association between voice disorder and breathing alteration in children." Revista CEFAC 20, no. 2 (April 2018): 191–200. http://dx.doi.org/10.1590/1982-0216201820217416.
Full textLee, Jinhyung, and Sung J. Choi. "Hospital Productivity After Data Breaches: Difference-in-Differences Analysis." Journal of Medical Internet Research 23, no. 7 (July 6, 2021): e26157. http://dx.doi.org/10.2196/26157.
Full textSeth, Sohan, and José C. Príncipe. "Conditional Association." Neural Computation 24, no. 7 (July 2012): 1882–905. http://dx.doi.org/10.1162/neco_a_00298.
Full textAzadyekta, Mehrnaz. "Comparison of the Effect Of Three Methods of Creativity Development in Elementary Students in Tehran City." European Journal of Social & Behavioural Sciences 4, no. 1 (January 1, 2013): 88–96. http://dx.doi.org/10.15405/ejsbs.2013.1.11.
Full textHorikawa, Chika, Satoru Kodama, Kazuya Fujihara, Yoko Yachi, Shiro Tanaka, Akiko Suzuki, Osamu Hanyu, Hitoshi Shimano, and Hirohito Sone. "Association ofHelicobacter pyloriInfection with Glycemic Control in Patients with Diabetes: A Meta-Analysis." Journal of Diabetes Research 2014 (2014): 1–7. http://dx.doi.org/10.1155/2014/250620.
Full textCRAWFORD, JOHN R., PAUL H. GARTHWAITE, DAVID C. HOWELL, and ANNALENA VENNERI. "Intra-individual measures of association in neuropsychology: Inferential methods for comparing a single case with a control or normative sample." Journal of the International Neuropsychological Society 9, no. 7 (November 2003): 989–1000. http://dx.doi.org/10.1017/s1355617703970032.
Full textLee, Ji Hyun, Ye An Kim, Young Lee, Woo-Dae Bang, and Je Hyun Seo. "Association between interarm blood pressure differences and diabetic retinopathy in patients with type 2 diabetes." Diabetes and Vascular Disease Research 17, no. 4 (July 2020): 147916412094591. http://dx.doi.org/10.1177/1479164120945910.
Full textTao, Sha-Sha, Yi-Lin Dan, Guo-Cui Wu, Qin Zhang, Tian-Ping Zhang, Yin-Guang Fan, and Hai-Feng Pan. "Association of Leptin Gene Polymorphisms with Rheumatoid Arthritis in a Chinese Population." BioMed Research International 2020 (October 6, 2020): 1–7. http://dx.doi.org/10.1155/2020/3789319.
Full textDissertations / Theses on the topic "Methods of association and difference"
Bouaziz, Matthieu. "Statistical methods to account for different sources of bias in Genome-Wide association studies." Thesis, Evry-Val d'Essonne, 2012. http://www.theses.fr/2012EVRY0023/document.
Full textGenome-Wide association studies have become powerful tools to detect genetic variants associated with diseases. This PhD thesis focuses on several key aspects of the new computational and methodological problematics that have arisen with such research. The results of Genome-Wide association studies have been questioned, in part because of the bias induced by population stratification. Many stratégies are available to account for population stratification scenarios are highlighted in order to propose pratical guidelines to account for population stratification. We then focus on the inference of population structure that has many applications for genetic research. We have developed and present in this manuscript a new clustering algoritm called Spectral Hierarchical clustering for the Inference of Population Structure (SHIPS). This algorithm in the field to propose a comparison of their performances. Finally, the issue of multiple-testing in Genome-Wide association studies is discussed on several levels. We propose a review of the multiple-testing corrections and discuss their validity for different study settings. We then focus on deriving gene-wise interpretation of the findings that corresponds to multiple-stategy to obtain valid gene-disease association measures
Gerdsen, Willy. "Investigating suitable pitch sizes for young football players in New Zealand." Click here to access this resource online, 2008. http://hdl.handle.net/10292/399.
Full textGarcia, Neto Baltasar Fernandes. "Power of QTL mapping of different genome-wide association methods for traits under different genetic structures : a simulation study /." Universidade Estadual Paulista (UNESP), 2018. http://hdl.handle.net/11449/152982.
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
A complexidade das características que podem apresentar diferentes estruturas de ação gênica como, por exemplo, poligênicas ou afetadas por genes de efeito maior, aliado a diferentes herdabilidades, entre outros fatores, tornam a detecção de QTLs desafiadora. Diversos métodos têm sido empregados com o intuito de realizar estudos de associação ampla do genoma (GWAS), objetivando o mapeamento de QTL. A metodologia weighted single-step GBLUP (wssGBLUP), por exemplo, é uma alternativa para a realização de GWAS, que permite o uso simultâneo de informações genotípicas, de pedigree e fenotípicas, mesmo de animais não genotipados. Métodos Bayesianos também são utilizados para a realização de GWAS, partindo da premissa básica de que a variância observada pode variar em cada locus em uma distribuição a priori específica. O objetivo do presente estudo foi avaliar, por meio de simulações, quais métodos, dentre os avaliados, mais auxiliaria na identificação de QTLs para características poligênicas e afetadas por genes de efeito maior, apresentando diferentes herdabilidades. Utilizamos os métodos: wssGBLUP, com a inclusão ou não de informação adicional fenotípica de animais não genotipados e dois distintos ponderadores para os marcadores, onde w1 representou a mesma ponderação (w1=1) e w2 a ponderação calculada de acordo com o processo de iteração anterior (w1) ; Bayes C, assumindo dois valores para π (π=0.99 and π=0.999), onde π é a proporção de SNPs não incluída no modelo, além do LASSO Bayesiano. Os resultados mostraram que para cenários poligênicos o poder de detecção é menor e o uso adicional de fenótipos de animais não genotipados pode ajudar na detecção, ainda que com pouca intensidade. Para cenários com característica sob efeito maior, houve maior poder na detecção de QTL pelos diferentes métodos em comparação aos cenários poligênicos com destaque para a leve vantagem do método Bayes C. A inclusão de informação fenotípica adicional, entretanto, causou viés nas estimativas e atrapalhou o desempenho do wssGBLUP na presença de QTL com efeito maior. O aumento da v herdabilidade para ambas as estruturas melhorou o desempenho dos métodos e o poder de mapeamento. O método mais adequado para a detecção de QTL depende da estrutura genética e da herdabilidade da característica, não existindo um método que seja superior para todos os cenários.
The complexity of the traits that can present different genetic structures, such as polygenic or affected by genes of major effect, in addition to different heritabilities, among other factors, make the detection of QTLs challenging. Several methods have been employed with the purpose of performing genome wide association studies (GWAS), aiming the mapping of QTL. The single-step weighted GBLUP (wssGBLUP) method, for example, is an alternative to GWAS, which allows the simultaneous use of genotypic, pedigree and phenotypic information, even from non-genotyped animals. Bayesian methods are also used to perform GWAS, starting from the basic premise that the observed variance can vary at each locus with a specific priori distribution. The objective of the present study was to evaluate, through simulation, which methods, among the evaluated ones, more assist in the identification of QTLs for polygenic and major gene affected traits, presenting different heritabilities. We used the following methods: wssGBLUP, with or without additional phenotypic information from non-genotyped animals and two different weights for markers, where w1 represented the same weight (w1=1) and w2 the weight calculated according to the previous iteration process (w1); Bayes C, assuming two values for π (π = 0.99 and π = 0.999), where π is the proportion of SNPs not included in the model, and Bayesian LASSO. The results showed that for polygenic scenarios the detection power is lower and the additional use of phenotypes from non-genotyped animals may help in the detection, yet with low intensity. For scenarios with major effect, there was greater power in the detection of QTL by all different methods with slighter superior performance for the Bayes C method. However, the inclusion of additional phenotypic information caused bias in the estimates and harmed the performance of the wssGBLUP in the presence of major QTL. The increase in heritability for both structures improved the performance of the methods and the power of mapping. The most suitable method for the iii detection of QTL is dependent on the genetic structure and the heritability of the trait, and there is not a superior method for all scenarios.
Salazar-Lazaro, Carlos Harold Wilson R. M. Wilson R. M. "Association schemes, codes, and difference sets /." Diss., Pasadena, Calif. : California Institute of Technology, 2007. http://resolver.caltech.edu/CaltechETD:etd-05222007-003651.
Full textPostell, Floyd Vince. "High order finite difference methods." Diss., Georgia Institute of Technology, 1990. http://hdl.handle.net/1853/28876.
Full textTrojan, Alice von. "Finite difference methods for advection and diffusion." Title page, abstract and contents only, 2001. http://web4.library.adelaide.edu.au/theses/09PH/09phv948.pdf.
Full textHayman, Kenneth John. "Finite-difference methods for the diffusion equation." Title page, table of contents and summary only, 1988. http://web4.library.adelaide.edu.au/theses/09PH/09phh422.pdf.
Full textPersson, Jonas. "Accurate Finite Difference Methods for Option Pricing." Doctoral thesis, Uppsala : Acta Universitatis Upsaliensis, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-7097.
Full textSteinle, Peter John. "Finite difference methods for the advection equation /." Title page, table of contents and abstract only, 1993. http://web4.library.adelaide.edu.au/theses/09PH/09phs8224.pdf.
Full textFilipovic, Zlatko. "Finite difference methods for pricing financial derivatives." Thesis, Imperial College London, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.420931.
Full textBooks on the topic "Methods of association and difference"
Zhu, You-lan, Xiaonan Wu, and I.-Liang Chern. Derivative Securities and Difference Methods. New York, NY: Springer New York, 2004. http://dx.doi.org/10.1007/978-1-4757-3938-1.
Full textZhu, You-lan, Xiaonan Wu, I.-Liang Chern, and Zhi-zhong Sun. Derivative Securities and Difference Methods. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-7306-0.
Full textShishkin, G. I. Difference methods for singular perturbation problems. Boca Raton: Chapman & Hall/CRC, 2008.
Find full textFinite difference methods in heat transfer. Boca Raton: CRC Press, 1994.
Find full textGustafsson, Bertil. Time dependent problems and difference methods. New York: Wiley, 1995.
Find full textBertil, Gustafsson. Time dependent problems and difference methods. New York: Wiley, 1995.
Find full textDuffy, Daniel J. Finite Difference Methods in Financial Engineering. New York: John Wiley & Sons, Ltd., 2006.
Find full textGustafsson, Bertil, Heinz-Otto Kreiss, and Joseph Oliger. Time-Dependent Problems and Difference Methods. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118548448.
Full textDimov, Ivan, István Faragó, and Lubin Vulkov, eds. Finite Difference Methods,Theory and Applications. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-20239-6.
Full textDimov, Ivan, István Faragó, and Lubin Vulkov, eds. Finite Difference Methods. Theory and Applications. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-11539-5.
Full textBook chapters on the topic "Methods of association and difference"
Bassani, Niccoló, Federico Ambrogi, Danila Coradini, and Elia Biganzoli. "Use of Biplots and Partial Least Squares Regression in Microarray Data Analysis for Assessing Association between Genes Involved in Different Biological Pathways." In Computational Intelligence Methods for Bioinformatics and Biostatistics, 123–34. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21946-7_10.
Full textKreiss, Heinz-Otto, and Hedwig Ulmer Busenhart. "Difference Methods." In Time-dependent Partial Differential Equations and Their Numerical Solution, 47–65. Basel: Birkhäuser Basel, 2001. http://dx.doi.org/10.1007/978-3-0348-8229-3_3.
Full textFerziger, Joel H., Milovan Perić, and Robert L. Street. "Finite Difference Methods." In Computational Methods for Fluid Dynamics, 41–79. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-99693-6_3.
Full textPozrikidis, C. "Finite-Difference Methods." In Fluid Dynamics, 364–409. Boston, MA: Springer US, 2001. http://dx.doi.org/10.1007/978-1-4757-3323-5_8.
Full textFerziger, Joel H., and Milovan Perić. "Finite Difference Methods." In Computational Methods for Fluid Dynamics, 39–66. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-642-98037-4_3.
Full textPozrikidis, C. "Finite-difference methods." In Fluid Dynamics, 521–90. Boston, MA: Springer US, 2016. http://dx.doi.org/10.1007/978-1-4899-7991-9_8.
Full textPozrikidis, Constantine. "Finite-Difference Methods." In Fluid Dynamics, 424–93. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-95871-2_8.
Full textKreiss, Gunilla. "Finite Difference Methods." In Encyclopedia of Applied and Computational Mathematics, 516–21. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-540-70529-1_414.
Full textRawitscher, George, Victo dos Santos Filho, and Thiago Carvalho Peixoto. "Finite Difference Methods." In An Introductory Guide to Computational Methods for the Solution of Physics Problems, 7–15. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-42703-4_2.
Full textGustafsson, Bertil. "Finite Difference Methods." In Fundamentals of Scientific Computing, 145–71. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-19495-5_10.
Full textConference papers on the topic "Methods of association and difference"
Stit, Otmane, Jamal Riffi, Ali Yahyaouy, and Hamid Tairi. "Comparative Study of Different Association Rule Methods." In 2018 IEEE 5th International Congress on Information Science and Technology (CiSt). IEEE, 2018. http://dx.doi.org/10.1109/cist.2018.8596670.
Full textYu, Shengze, Xin Wang, Wenwu Zhu, Peng Cui, and Jingdong Wang. "Disparity-preserved Deep Cross-platform Association for Cross-platform Video Recommendation." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. California: International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/644.
Full textFrappa, M., C. Sirierx, and M. Martinaud. "Association of different geophysical methods for detection of old quarries." In 4th EEGS Meeting. European Association of Geoscientists & Engineers, 1998. http://dx.doi.org/10.3997/2214-4609.201407133.
Full textChaisricharoen, Roungsan, Wanus Srimaharaj, and Aysha Sohail. "Association between Different Learning Methods and Testing Scores for Student: A Case Study." In 2019 16th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON). IEEE, 2019. http://dx.doi.org/10.1109/ecti-con47248.2019.8955391.
Full textBelkov, Daniil, Konstantin Purtov, and Vladimir Kublanov. "Influence of different feature selection approaches on the performance of emotion recognition methods based on SVM." In 2017 20th Conference of Open Innovations Association (FRUCT). IEEE, 2017. http://dx.doi.org/10.23919/fruct.2017.8071290.
Full textWang, Yongke, Wenhui Wang, and Yihui Luan. "Comparison of Different Methods for Handling Linkage Disequilibrium in Genetic-Association Analyses via Simulation." In 2009 2nd International Conference on Biomedical Engineering and Informatics. IEEE, 2009. http://dx.doi.org/10.1109/bmei.2009.5305389.
Full textPARK, HYUNJU, and Qiong Zhu. "Public Higher Education Governing Boards Composition and Regional Difference in U.S." In Third International Conference on Higher Education Advances. Valencia: Universitat Politècnica València, 2017. http://dx.doi.org/10.4995/head17.2017.5519.
Full textPalmeira, Eduardo, Benjamin Bedregal, and Humberto Bustince. "Applying Two Different Methods to Extend Restricted Dissimilarity Functions." In 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology (IFSA-EUSFLAT-15). Paris, France: Atlantis Press, 2015. http://dx.doi.org/10.2991/ifsa-eusflat-15.2015.159.
Full textJetmar, Marek. "Formální hlediska fungování dobrovolných svazků obcí." In XXIII. mezinárodní kolokvium o regionálních vědách / 23rd International Colloquium on Regional Sciences. Brno: Masaryk University Press, 2020. http://dx.doi.org/10.5817/cz.muni.p210-9610-2020-25.
Full textShi, Jinhua, Liwu Wei, Claude Faidy, Andrew Wasylyk, and Nawal Prinja. "A Comparison of Different Design Codes on Fatigue Life Assessment Methods." In ASME 2016 Pressure Vessels and Piping Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/pvp2016-63040.
Full textReports on the topic "Methods of association and difference"
Scannapieco, E., and F. H. Harlow. Introduction to finite-difference methods for numerical fluid dynamics. Office of Scientific and Technical Information (OSTI), September 1995. http://dx.doi.org/10.2172/212567.
Full textStrikwerda, John C. Finite Difference Methods for Incompressible Viscous Flow in Scientific Computing. Fort Belvoir, VA: Defense Technical Information Center, June 1992. http://dx.doi.org/10.21236/ada253512.
Full textBilovska, Natalia. HYPERTEXT: SYNTHESIS OF DISCRETE AND CONTINUOUS MEDIA MESSAGE. Ivan Franko National University of Lviv, March 2021. http://dx.doi.org/10.30970/vjo.2021.50.11104.
Full textDoudchenko, Nikolay, and Guido Imbens. Balancing, Regression, Difference-In-Differences and Synthetic Control Methods: A Synthesis. Cambridge, MA: National Bureau of Economic Research, October 2016. http://dx.doi.org/10.3386/w22791.
Full textPetersson, N., and B. Sjogreen. Serpentine: Finite Difference Methods for Wave Propagation in Second Order Formulation. Office of Scientific and Technical Information (OSTI), March 2012. http://dx.doi.org/10.2172/1046802.
Full textWang, Jingyue, and Bradley J. Lucier. Error Bounds for Finite-Difference Methods for Rudin-Osher-Fatemi Image Smoothing. Fort Belvoir, VA: Defense Technical Information Center, September 2009. http://dx.doi.org/10.21236/ada513262.
Full textXu, Zhengfu, and Chi-Wang Shu. Anti-Diffusive Finite Difference WENO Methods for Shallow Water with Transport of Pollutant. Fort Belvoir, VA: Defense Technical Information Center, January 2006. http://dx.doi.org/10.21236/ada458954.
Full textBecker, Charles, Cecilia Elena Rouse, and Mingyu Chen. Can a Summer Make a Difference? The Impact of the American Economic Association Summer Program on Minority Student Outcomes. Cambridge, MA: National Bureau of Economic Research, August 2014. http://dx.doi.org/10.3386/w20407.
Full textTsang, Leung, and Chi H. Chan. Monte Carlo Simulations of Random Rough Surface Scattering with Finite Element and Finite Difference Methods. Fort Belvoir, VA: Defense Technical Information Center, January 1992. http://dx.doi.org/10.21236/ada247528.
Full textIsbell, Charles L. Explorations of the Practical Issues of Learning Prediction-Control Tasks Using Temporal Difference Learning Methods. Fort Belvoir, VA: Defense Technical Information Center, December 1992. http://dx.doi.org/10.21236/ada270836.
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