Relevant bibliographies by topics / Spearman’s rank correlation

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Spearman’s rank correlation'

Author: Grafiati
Published: 4 June 2021
Last updated: 19 February 2022

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Journal articles on the topic "Spearman’s rank correlation"

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Wang, Bin, Ruodu Wang, and Yuming Wang. "Compatible matrices of Spearman’s rank correlation." Statistics & Probability Letters 151 (August 2019): 67–72. http://dx.doi.org/10.1016/j.spl.2019.03.015.

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Ramsey, Philip H. "Critical Values for Spearman’s Rank Order Correlation." Journal of Educational Statistics 14, no. 3 (1989): 245–53. http://dx.doi.org/10.3102/10769986014003245.

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Introductory statistics texts have been noted to have inaccuracies in the tables of critical values for Spearman’s correlation. Even the best texts currently available use critical values from the exact distribution only for N≥ 11. Zar’s table gives critical values for N ≥ 100 but does not use the most accurate approximation procedure available. This paper provides a table of critical values based on the exact distribution for 3 ≥ N ≥ 18 and very accurate critical values for 19 ≥ N ≥ 100 estimated using the Edgeworth approximation.
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Kończak, Grzegorz. "On Testing Significance of the Multivariate Rank Correlation Coefficient." Acta Universitatis Lodziensis. Folia Oeconomica 3, no. 335 (2018): 21–34. http://dx.doi.org/10.18778/0208-6018.335.02.

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The Spearman’s rho is a measure of the strength of the association between two variables. There are some extensions of this coefficient for the multivariate case. Measures of the multivariate association which are the generalisation of the bivariate Spearman’s rho are considered in the literature. These measures are based on copula functions. This article presents a proposal of the testing for the multivariate Spearman’s rank correlation coefficient. The proposed test is based on the permutation method. The test statistic used in the permutation test is based on the empirical copula function. The properties of the proposed method have been described using computer simulations.
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Yuniwati, Ika. "Correlation Test Application of Supplier’s Ranking Using TOPSIS and AHP-TOPSIS Method." CAUCHY 4, no. 2 (2016): 65. http://dx.doi.org/10.18860/ca.v4i2.3489.

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The supplier selection process can be done using multi-criteria decision making (MCDM) methods in firms. There are many MCDM Methods, but firms must choose the method suitable with the firm condition. Company A has analyzed supplier’s ranking using TOPSIS method. TOPSIS method has a marjor weakness in its subjective weighting. This flaw is overcome using AHP method weighting having undergone a consistency test. In this study, the comparison of supplier’s ranking using TOPSIS and AHP-TOPSIS method used correlation test. The aim of this paper is to determine different result from two methods. Data in suppliers’ ranking is ordinal data, so this process used Spearman’s rank and Kendall’s tau b correlation. If most of the ranked scored are same, Kendall’s tau b correlation should be used. The other way, Spearman rank should be used. The result of this study is that most of the ranked scored are different, so the process used Spearman rank p-value of Spearman’s rank correlation of 0.505. It is greater than 0.05, means there is no statistically significant correlation between two methods. Furthermore, increment or decrement of supplier’s ranking in one method is not significantly related to the increment or decrement of supplier’s ranking in the second method
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Ornstein, Petra, and Johan Lyhagen. "Asymptotic Properties of Spearman’s Rank Correlation for Variables with Finite Support." PLOS ONE 11, no. 1 (2016): e0145595. http://dx.doi.org/10.1371/journal.pone.0145595.

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Kang, Ji-Soo, Dong-Hoon Shin, Ji-Won Baek, and Kyungyong Chung. "Activity Recommendation Model Using Rank Correlation for Chronic Stress Management." Applied Sciences 9, no. 20 (2019): 4284. http://dx.doi.org/10.3390/app9204284.

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Korean people are exposed to stress due to the constant competitive structure caused by rapid industrialization. As a result, there is a need for ways that can effectively manage stress and help improve quality of life. Therefore, this study proposes an activity recommendation model using rank correlation for chronic stress management. Using Spearman’s rank correlation coefficient, the proposed model finds the correlations between users’ Positive Activity for Stress Management (PASM), Negative Activity for Stress Management (NASM), and Perceived Stress Scale (PSS). Spearman’s rank correlation coefficient improves the accuracy of recommendations by putting a basic rank value in a missing value to solve the sparsity problem and cold-start problem. For the performance evaluation of the proposed model, F-measure is applied using the average precision and recall after five times of recommendations for 20 users. As a result, the proposed method has better performance than other models, since it recommends activities with the use of the correlation between PASM and NASM. The proposed activity recommendation model for stress management makes it possible to manage user’s stress effectively by lowering the user’s PSS using correlation.
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Bao, Zhigang, Liang-Ching Lin, Guangming Pan, and Wang Zhou. "Spectral statistics of large dimensional Spearman’s rank correlation matrix and its application." Annals of Statistics 43, no. 6 (2015): 2588–623. http://dx.doi.org/10.1214/15-aos1353.

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Ulbrichtová, Romana, Viera Jakušová, Viera Švihrová, Barbora Dvorštiaková, and Henrieta Hudečková. "Validation of the Slovakian version of Boston Carpal Tunnel Syndrome Questionnaire (BCTSQ)." Acta Medica (Hradec Kralove, Czech Republic) 62, no. 3 (2019): 105–8. http://dx.doi.org/10.14712/18059694.2019.133.

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Introduction: The most common occupational disease is carpal tunnel syndrome. The aim of this study was to translate and validate the Slovakian version of BCTSQ. Methods: The original questionnaire was translated into the Slovakian language by two expert translators. Cronbach’s alpha coefficient was used to analyze the internal consistency of the questionnaire. Construction validity was evaluated by using Pearson’s correlation coefficient and Spearman’s rank correlation. The results were processed in the statistical program SPSS 24. The level of significance p > 0.05 was considered significant. To analyze the validity, a factor analysis of the BCTSQ and the correlation between BCTSQ and SF-36 were obtained. Results: A total of 32 employees at risk of local muscular overload completed the BCTSQ and Health Questionnaire SF-36. Cronbach’s alpha for SSS was >0.8. The alpha coefficient for FSS was >0.9. The Pearson’s coefficient and Spearman’s rank correlation was >0.9 for each domain. Cronbach’s alpha for SF-36 was >0.7 and the Pearson’s coefficient and Spearman’s rank correlation was >0.6 and p-values <0.001. Conclusions: The questionnaire has sufficient reliability, validity and can be a suitable tool for the evaluation of subjective response of employees at the risk of local muscular overload, as well as of patients with carpal tunnel syndrome.
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Xu, Jiucheng, Huiyu Mu, Yun Wang, and Fangzhou Huang. "Feature Genes Selection Using Supervised Locally Linear Embedding and Correlation Coefficient for Microarray Classification." Computational and Mathematical Methods in Medicine 2018 (2018): 1–11. http://dx.doi.org/10.1155/2018/5490513.

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The selection of feature genes with high recognition ability from the gene expression profiles has gained great significance in biology. However, most of the existing methods have a high time complexity and poor classification performance. Motivated by this, an effective feature selection method, called supervised locally linear embedding and Spearman’s rank correlation coefficient (SLLE-SC2), is proposed which is based on the concept of locally linear embedding and correlation coefficient algorithms. Supervised locally linear embedding takes into account class label information and improves the classification performance. Furthermore, Spearman’s rank correlation coefficient is used to remove the coexpression genes. The experiment results obtained on four public tumor microarray datasets illustrate that our method is valid and feasible.
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Otoom, Ahmed Fawzi, Ghadeer AL Kateb, Maen Hammad, Rateb J. Sweis, and Haneen Hijazi. "Success Factors Importance Based on Software Project Organization Structure." Information 10, no. 12 (2019): 391. http://dx.doi.org/10.3390/info10120391.

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The main aim of this paper is to identify critical success factors (CSFs) and investigate whether they are the same or not across different project organization structures. The organization structures under the study are: functional, project, and matrix. The study is based on a survey that was conducted on a large number of software projects in Jordan. To rank success factors (SFs) and identify critical ones, we use the importance index of SFs, which is calculated based on the likelihood and impact across different structures. For deeper analysis, we carry out statistical experiments with an ANOVA test and Spearman’s rank correlation test. Analysis results of an ANOVA test partially indicates that the values of the SF importance index are slightly different across the three organization structures. Moreover, the Spearman’s rank correlation test results show a high degree of correlation of the SF importance index between the function and project organization structures and a low degree of correlation between the function and matrix organization structures.
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Dissertations / Theses on the topic "Spearman’s rank correlation"

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Dastmard, Benjamin. "A statistical analysis of the connection between test results and field claims for ECUs in vehicles." Thesis, KTH, Matematisk statistik, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-118428.

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The objective of this thesis is to analyse theconnection between test results and field claims of ECUs (electronic controlunits) at Scania in order to improve the acceptance criteria and evaluatesoftware testing strategies. The connection is examined through computation ofdifferent measures of dependencies such as the Pearson’s correlation, Spearman’srank correlation and Kendall’s tau. The correlations are computed from testresults in different ECU projects and considered in a predictive model based onlogistic regression. Numerical results indicate a weak connection between testresults and field claims. This is partly due to insufficient number of ECUprojects and the lack of traceability of field claims and test results. Themain conclusion confirms the present software testing strategy. Continuoussoftware release and testing results in a lower field claim and thus a betterproduct.
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Liebenberg, Andre. "The relationship between economic freedom, political freedom and economic growth." Diss., University of Pretoria, 2012. http://hdl.handle.net/2263/30619.

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The research aims to investigate the relationship between economic freedom, political freedom and economic growth. The Arab Spring placed renewed interest on the topic of freedom, yet current economic conditions seemingly contradicted the established theory. The largest free economies were being outperformed by those with less political and economic freedom.Three objectives were specified to answer the research question. The first objective aimed to determine the association between economic freedom, political freedom and economic growth, for which Spearman’s correlation was used. The second objective aimed to investigate causal relationships between the variables, for which Granger’s causality was employed. The third objective aimed to examine complex relationships between the variables, for which vector autoregression was used.Economic growth was weakly correlated with the independent variables. Civil liberties, political rights and economic freedom, however, had strong correlations with each other. Economic freedom and economic growth had bi-directional Granger-causality. Political rights Granger-caused economic freedom whilst civil liberties Granger-caused political rights and economic freedom. Using vector autoregression, the model consisting of economic growth, economic freedom and civil liberties had the greatest explanatory power towards economic growth. Existing theory therefore remains valid: political freedom enhances economic freedom, which, in turn, enhances economic growth.The relationship between economic freedom, political freedom and economic growth<br>Dissertation (MBA)--University of Pretoria, 2012.<br>Gordon Institute of Business Science (GIBS)<br>unrestricted
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CHEN, ZHAOREN. "ANALYSIS OF EQUITY MARKETS: A SPEARMAN RANK CORRELATION COEFFICIENT APPROACH." Thesis, The University of Arizona, 2016. http://hdl.handle.net/10150/612636.

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In this honors thesis, I attempted to develop an investment strategy to analyze the U.S. stock market by studying the correlations between nine sectors defined by the Select Sector Standard & Poor’s Depository Receipts (SPDR). These funds are a group of exchange-traded funds (ETFs) which are traded worldwide and can adequately represent the performance of the sectors. Through my method, I hope to identify the sector trends in the future by evaluating the sector ETF’s most recent short-term period data. This analysis will provide an alternate investment method for investors to avoid short-term investment risk as well as explanations of why I think the approach may not be valid.
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Twagirumukiza, Etienne. "Analysis of Faculty Evaluation by Students as a Reliable Measure of Faculty Teaching Performance." Digital Archive @ GSU, 2011. http://digitalarchive.gsu.edu/math_theses/105.

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Most American universities and colleges require students to provide faculty evaluation at end of each academic term, as a way of measuring faculty teaching performance. Although some analysts think that this kind of evaluation does not necessarily provide a good measurement of teaching effectiveness, there is a growing agreement in the academic world about its reliability. This study attempts to find any strong statistical evidence supporting faculty evaluation by students as a measure of faculty teaching effectiveness. Emphasis will be on analyzing relationships between instructor ratings by students and corresponding students’ grades. Various statistical methods are applied to analyze a sample of real data and derive conclusions. Methods considered include multivariate statistical analysis, principal component analysis, Pearson's correlation coefficient, Spearman's and Kendall’s rank correlation coefficients, linear and logistic regression analysis.
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HUANG, SHIJING. "ESTIMATING ILLEGAL DRUG MARKET LOCATION IN CINCINNATI USING THE HUFF MODEL." University of Cincinnati / OhioLINK, 2004. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1090862711.

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Michal, Ondřej. "Stanovení hodnot materiálových parametrů s využitím experimentů různých konfigurací." Master's thesis, Vysoké učení technické v Brně. Fakulta stavební, 2012. http://www.nusl.cz/ntk/nusl-225579.

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The work occupy by inverse analysis based on artificial neural network. This identification algorithm enable correct determine parameters of applied material model on creation of numerical model of construction so it's possible that the results of computerized simulation correspond with experiments. It look's like suitable approach especially in cases with complicated problems and complex models with many material parameters.
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Barnes, Samantha Jones. "Characterization of the Serologic Responses to Plasmodium vivax DBPII Variants Among Inhabitants of Pursat Province, Cambodia." Scholar Commons, 2011. http://scholarcommons.usf.edu/etd/3970.

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The Plasmodium vivax Duffy Binding Protein (DBP) is the ligand in the major pathway for P. vivax invasion of human reticulocytes, making it an appealing vaccine candidate. Region II of DBP (DBP-RII) is the minimal portion of the ligand that mediates recognition of the Duffy Antigen Receptor for Chemokines (DARC receptor) on the reticulocyte surface and constitutes the primary vaccine target. Analysis of natural variation in the coding sequences of DBP-RII revealed signature evidence for selective pressure driving variation in the residues of the putative receptor-binding site. We hypothesize that anti-DBP immunity in P. vivax infections is strain-specific and hindered by polymorphic residues altering sensitivity to immune antibody inhibition. To comprehend the human IgG response following P. vivax infections we investigated the specificity of IgG in Pursat Province, Western Cambodia. Using ELISAs, we quantified the antibody titer against five variant alleles of DBP-RII. We also sequenced the DBP-RII of the field isolates to determine their relationship to the variant alleles used in the ELISAs. When correlating the IgG titer between the DBP variants a strain-specific immune response was observed in patients with a high antibody titer to DBP-RII_AH as compared to the other variants. This was different from the correlation of high antibody titers between DBP-RII_P and DBP-RII_7.18 (ρ=0.88, p-value<0.0001) and DBP-RII_P and DBP-RII_O (ρ=0.87, p-value<0.0001). There appeared to be little correlation between specific polymorphic residues and IgG titer. Understanding the immune response to the polymorphisms within PvDBP will allow further identification of epitopes to enable the production of a more effective P. vivax vaccine
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Louw, Charl. "The presentation of self-concept and emotional profile in a cardiological population." Diss., Pretoria : [s.n.], 2004. http://upetd.up.ac.za/thesis/available/etd-02092005-092504.

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VOMÁČKA, Pavel. "Možnosti promítnutí rizika do hodnocení finanční situace podniku." Master's thesis, 2014. http://www.nusl.cz/ntk/nusl-174018.

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Objective of this Master's thesis is to evaluate different ways of measuring financial performance of enterprise. Economic Value Added is compared with older, traditional indicators of profitability. Emphasis lies on general applicability. In theoretical part, history of entrepreneurial goals is in addition to the actual analysis of tested indicators outlined. EVA, profitability ratios are assessed using a sample of 100 Czech manufacturing companies. In practical part, outputs of thesis apart from actual testing are stated.
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Books on the topic "Spearman’s rank correlation"

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Sloan, Luke, and Rob Angell. Spearman’s Rank-Order Correlation Coefficient and the General Social Survey (2012): Income and Political Influence. SAGE Publications, Ltd., 2015. http://dx.doi.org/10.4135/9781473937987.

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Sloan, Luke, and Rob Angell. Spearman’s Rank-Order Correlation Coefficient and the General Social Survey (2012): Highest Level of Education and Income. SAGE Publications, Ltd., 2015. http://dx.doi.org/10.4135/9781473937857.

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Spearman’s Rank-Order Correlation Coefficient and the Global Health Observatory Data (2012): Life Expectancy and Per Capita Government Health Spending. SAGE Publications, Ltd., 2015. http://dx.doi.org/10.4135/9781473948181.

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Spearman's Rank-Order Correlation Coefficient and the World DataBank (2012): Gross Domestic Product Per Capita and Internet Access. SAGE Publications, Ltd., 2015. http://dx.doi.org/10.4135/9781473937871.

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Book chapters on the topic "Spearman’s rank correlation"

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MacFarland, Thomas W., and Jan M. Yates. "Spearman’s Rank-Difference Coefficient of Correlation." In Introduction to Nonparametric Statistics for the Biological Sciences Using R. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-30634-6_8.

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Grzegorzewski, Przemysław, and Paulina Ziembińska. "Spearman’s Rank Correlation Coefficient for Vague Preferences." In Flexible Query Answering Systems. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24764-4_30.

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Kokoska, Stephen, and Christopher Nevison. "Critical Values For Spearman’s Rank Correlation Coefficient." In Springer Texts in Statistics. Springer New York, 1989. http://dx.doi.org/10.1007/978-1-4613-9629-1_22.

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Williams, R. B. G. "Spearman’s and Kendall’s Coefficients of Rank Correlation." In Intermediate Statistics for Geographers and Earth Scientists. Macmillan Education UK, 1986. http://dx.doi.org/10.1007/978-1-349-06813-5_6.

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Baszczyńska, Aleksandra, and Czesław Domański. "Distribution of the Spearman’s Rank Correlation Coefficient." In Operations Research ’92. Physica-Verlag HD, 1993. http://dx.doi.org/10.1007/978-3-662-12629-5_95.

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Shah, Dharambhai, and Tanish Zaveri. "Hyperspectral Endmember Extraction Algorithm Using Spearman’s Rank Correlation." In Algorithms for Intelligent Systems. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-5077-5_27.

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Dancelli, Livia, Marica Manisera, and Marika Vezzoli. "On Two Classes of Weighted Rank Correlation Measures Deriving from the Spearman’s ρ." In Statistical Models for Data Analysis. Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-00032-9_13.

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Zhao, Boxu, and Guiming Luo. "Reasoning of Causal Direction in Linear Model Based on Spearman’s Rank Correlation Coefficient." In Knowledge Science, Engineering and Management. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-29563-9_24.

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Gilbertson, D. D., M. Kent, and F. B. Pyatt. "Data analysis and interpretation III: correlation and regression using Spearman’s rank correlation coefficient and semi-averages regression." In Practical Ecology for Geography and Biology. Springer US, 1985. http://dx.doi.org/10.1007/978-1-4684-1415-8_13.

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Gooch, Jan W. "Spearman Rank Correlation Coefficient." In Encyclopedic Dictionary of Polymers. Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-6247-8_15382.

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Conference papers on the topic "Spearman’s rank correlation"

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Briones, Alejandro M., David L. Burrus, Joshua P. Sykes, Brent A. Rankin, and Andrew W. Caswell. "Automated Design Optimization of a Small-Scale High-Swirl Cavity-Stabilized Combustor." In ASME Turbo Expo 2018: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/gt2018-76900.

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A numerical optimization study is performed on a small-scale high-swirl cavity-stabilized combustor. A parametric geometry is created in CAD software that is coupled with meshing software. The latter automatically transfers meshes and boundary conditions to the solver, which is coupled with a post-processing tool. Steady, incompressible three-dimensional simulations are performed using a multi-phase Realizable k-ϵ Reynolds-averaged Navier-Stokes (RANS) approach with the non-adiabatic flamelet progress variable (FPV). There are nine input parameters based on geometrical control variables. There are five output parameters, viz., pattern factor (PF), RMS of the profile factor deviation, averaged exit temperature, averaged exit swirl angle, and total pressure loss. An iterative design of experiments (DOE) with a recursive Latin Hypercube Sampling (LHS) is performed to filter the most important input parameters. The five major input parameters are found with Spearman’s order-rank correlation and R2 coefficient of determination. The five input parameters are used for the adaptive multiple objective (AMO) optimization. The AMO algorithm provided a candidate design point with the lowest weighted objective function. This design point was verified through CFD simulation. The combined filtering and optimization procedures improve the baseline design point in terms of pattern and profile factor. The former halved from that of the baseline design point whereas the latter turned from an outer peak to a center peak profile, closely mimicking an ideal profile. The exit swirl angle favorably increased 25%. The averaged exit temperature and the total pressure losses remained nearly unchanged from the baseline design point.
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Kumar, Rahul, Sayan Gupta, and Shaikh Faruque Ali. "Random Field Modeling and Analysis of Rotor Bladed Disc Sector Using a Data Driven PCE Based Approach." In ASME 2019 Gas Turbine India Conference. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/gtindia2019-2497.

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Abstract Bladed disc systems, are designed to be rotationally periodic i.e. each sector repeats itself in an angular manner. This ensures that the response characteristics preserve this rotational periodicity and is defined as a tuned system. However, due to manufacturing limitations, there are invariably random spatial variations in the sectors which constitute the rotor. This in turn destroys the periodicity (angular symmetry) of the rotor. Such a system is defined as a mistuned system, leads to energy localization and makes the rotor susceptible to damage leading to a loss of its service life. This study focusses on developing a methodology for modeling the random spatial inhomogeneities and integrating with finite element analysis for estimating the behavior of a sector of a rotor blade assembly. Approximations for the non-Gaussian random fields for the spatial inhomogeneities are directly developed from the data set of measurements available from coordinate measuring machine (CMM). Subsequently, Rosenblatt’s transformations are applied to each component of the discrete measurement data set for polynomial chaos (PC) representation of the parameter to get the estimated probability density function (pdf). Spearman’s rank correlation coefficient (SRCC) is calculated to obtain the correlation parameter. Kullback–Liebler entropy (KLE) is used as a metric to compare the estimated pdf obtained through the PC representation of the measured data. The in-house PC based developed codes are subsequently integrated with commercially available finite element software which enable quantifying the propagation of the spatial random uncertainties into the response characteristics. Statistical processing of the response quantities is carried out to estimate probabilistic measures of the corresponding response quantities.
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Kumar, Rahul, Sayan Gupta, and Shaikh Faruque Ali. "Stochastic Modelling and Analysis of Rotating Bladed Discs." In ASME Turbo Expo 2020: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/gt2020-16212.

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Abstract This study focusses on probabilistic modelling of the bladed disc system and numerical estimation of the distributions of the response quantities of the system. Stochastic finite element model of the system consisting of all the assemblies and the hub is developed and reported. The spatial inhomogeneity of mistuned structures is modelled as non-Gaussian random field. Experimentally, the system parameters can be measured at the specified locations of the bladed disk structure. In this analysis, a synthetic data is generated which represent this measured data set. Further, Nataf transformation is implemented to each component of the data set to get the polynomial chaos expansion framework of the system parameters. Since, the random field of the system parameter is approximated as correlated random variables, Spearman’s rank correlation coefficient is used in this manuscript to obtain that correlation among the random parameters across the domain. The approximated probability density function obtained through the aforementioned methodology is compared with the target probability density function of the parameter using Kullback–Liebler (KL) entropy as a metric. Also, the same KL entropy is used as a metric to check the convergence of polynomial chaos terms in the expansion. Next, the proposed polynomial chaos method is integrated with commercial finite element software to quantify the propagation of randomness associated with system parameters into the response quantities. Subsequently, the statistical processing helps in estimating the probabilistic measure of the required response quantities. The results obtained through the conventional Monte Carlo (MC) simulations have been used as the benchmark to compare the response characteristics obtained through the proposed algorithm.
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Zenic, Natasa, Admir Terzic, and Ivan Kvesic. "Determinants of changes in physical activity levels in late adolescence; prospective analysis in urban communities." In 12th International Conference on Kinanthropology. Masaryk University Press, 2020. http://dx.doi.org/10.5817/cz.muni.p210-9631-2020-39.

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Purpose: Physical activity levels (PA-levels) significantly decline during adolescence, and sport participation during childhood and adolescence is frequently emphasized as protec-tive factors of PA-decline. However, there is a lack of studies which specifically examined sport-related factors and its influence on changes in PA (PA-changes) in adolescence. This study aimed to prospectively observe sport factors as: (i) correlates of PA-levels and (ii) pre-dictors of PA-changes in the period between 16 and 18 years of age among urban adoles-cents from Bosnia and Herzegovina. Methods: The sample of participants comprised 324 adolescents (44% females) who were prospectively observed over two testing waves: (i) baseline, when participants were 16 years old; and (ii) follow-up, 20 months later (18 years of age). The variables were collected by previously validated questionnaires including questions on predictors (sociodemographic variables and various sport factors [current/former/ever participation in individual and team sports, experience in sports, competitive result achieved]), and criteria (PA level obtained at study baseline and follow up, measured by Physical Activity Questionnaire for Adolescents [PAQ-A], and difference between PA-levels at baseline and follow-up). The t-test was used to compare PA-levels. The associations between variables were evidenced by: (i) Spear-man’s rank order correlations (between predictors and PA-levels), and (ii) logistic regression analysis (between predictors, and PA-changes observed as binomial criterion [PA-incline vs. PA-decline] – excluding those participants who reported active sport participation at study baseline). Results: The PA-level significantly declined over the study course (t-test: 6.60, p &lt; 0.01). Sport-related predictors were significantly associated with PA at baseline (Spearman’s R: 0.33–0.45, p &lt; 0.01), and PAat follow-up (Spearman’s R: 0.32-0.45, p &lt; 0.01). Meanwhile, there was no significant correlation between studied predictors and differences in PA-levels between baseline and follow-up. Also, logistic regression did not reveal any significant influ-ence of predictors obtained at study baseline and PA-changes observed as binomial criterion (PA-incline vs PA-decline). Conclusion: While studied sport-related predictors significantly influence the PA-levels in the age of 16 and 18, with the higher level of PA among those adolescents who are actively in-volved in sports, sport-participation do not predict changes in PA-levels over the observed period of life. Knowing the influence of PAon overall health status, future studies should pro-vide additional details on possible predictors of PA-changes in adolescence.
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Fan, Xiao, Qi Wang, Kaiyuan Liu, Min Li, and Pu Liu. "A coherence algorithm based on Spearman's rank correlation." In SEG Technical Program Expanded Abstracts 2018. Society of Exploration Geophysicists, 2018. http://dx.doi.org/10.1190/segam2018-2996512.1.

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Abramson, S. B., J. Yang, E. D. Gomperts, C. K. Kasper, and E. J. Fedor. "RELATIVE THERAPEUTIC EFFICACY AND MOLECULAR WEIGHT DISTRIBUTION OF DRY-HEATED AND n-HEPTANE-HEATED PREPARATIONS OF FACTOR VIII." In XIth International Congress on Thrombosis and Haemostasis. Schattauer GmbH, 1987. http://dx.doi.org/10.1055/s-0038-1643920.

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Recent reports by Kemoff et al. (1985) and Gomperts et al. (1987; a multicentered multinational trial) showed that Factor VIII (Antihemophilic Factor, or AHF) “wet” heat-treated in n-hep-tane (Profilate Heat-TreatedR) presented a lower risk of transmitting non-A, non-B hepatitis and HIV than AHF products heated as lyophilized powders. No direct comparison has been reported, however, of the therapeutic efficacy of these products. We compared recovery and half-life in vivo for Profilate Heat-Treated11 with those of the dry-heated products HT ProfilateR and Koate HTR. Two sets of six subjects with severe hemophilia A were infused with either Profilate Heat-TreatedR or a dry-heated AHF in a crossover trial, and blood samples were drawn at times from 10 min to 24 hr. Half-life was determined from a linear regression plot of log (plasma AHF) vs. time from 1 hr to 24 hr. The table gives the mean ± one standard deviation of initial recovery and half-life for each product comparison. Unpaired t-tests showed no significant differences between products. Spearman’s rank analysis showed a high degree of correlation for both the initial recovery and half-life of each product pair.Analysis of molecular weight (MW) distributions of Factor VIII:C polypeptides in several commercial products using the method of Weinstein showed the majority of AHF in all products tested to have MW = 100,000 - 110,000. H.T. FactorateR, which exhibited a substantial amount of the AHF polypeptide whose MW approximates 210,000, is reported by the manufacturer to have a half-life = 11 ± 3.9 hr. We thus conclude that the 210,000 MW form of AHF is not required for therapeutic efficacy.
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Hernández-Aguirre, Arturo, Enrique Villa-Diharce, and Selma Barba-Moreno. "An estimation distribution algorithm with the spearman's rank correlation index." In the 10th annual conference. ACM Press, 2008. http://dx.doi.org/10.1145/1389095.1389182.

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Szmidt, Eulalia, and Janusz Kacprzyk. "The Spearman rank correlation coefficient between intuitionistic fuzzy sets." In 2010 5th IEEE International Conference Intelligent Systems (IS). IEEE, 2010. http://dx.doi.org/10.1109/is.2010.5548399.

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Briones, Alejandro M., Markus P. Rumpfkeil, Nathan R. Thomas, and Brent A. Rankin. "Effect of Deterministic and Continuous Design Space Resolution on Multiple-Objective Combustor Optimization." In ASME Turbo Expo 2019: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/gt2019-91388.

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Abstract A supervised machine learning technique namely an Adaptive Multiple Objective (AMO) optimization algorithm is used to divide a continuous and deterministic design space into non-dominated Pareto frontier and dominated design points. The effect of the initial training data quantity, i.e., computational fluid dynamics (CFD) results, on the Pareto frontier and output parameter sensitivity is explored. The optimization study is performed on a subsonic small-scale cavity-stabilized combustor. A parametric geometry is created using CAD that is coupled with a meshing software. The latter automatically transfers meshes and boundary conditions to the solver, which is coupled with a post-processing tool. Steady, incompressible three-dimensional simulations are performed using a multi-phase realizable k-ε Reynolds-averaged Navier-Stokes (RANS) approach with an adiabatic flamelet progress variable (FPV). Scalable wall functions are used for modeling turbulence near the wall. For each CFD simulation four levels of adaptive mesh refinement (AMR) are utilized on the original cut-cell grid. The mesh is refined where the flow exhibits large progress variable curvature. There are fifteen geometrical input parameters and three output parameters, viz., a pattern factor proxy (maximum exit temperature), a combustion efficiency proxy (averaged exit temperature), and total pressure loss (TPL). The Pareto frontier and the input-to-output parameter sensitivities are reported for each meta-model simulation. For the investigated design space, three times the number of input parameters plus one (48) yields an optimization independent of the initial sampling. This conclusion is drawn by comparing the Pareto frontiers and global sensitivities. However, the latter provides a better metric. The relative influence of the input parameters on the outputs is assessed by using both a Spearman’s order-rank correlation approach as well as an active subspace analysis. In general, non-dominated design points exhibit persistent geometrical features such as offset opposed cavity forward and aft driver jet alignment. Larger cavities necessitate larger chutes and smaller outer liner jet diameters, whereas smaller cavities require smaller chutes and larger outer liner jet diameters. The fuel injector radial location varies, but can be located either radially inward or outward with respect to the forward dilution jet radial locations. For these non-dominated designs there is substantial burning inside and outside of the cavity. The downstream dilution jets quench the upstream hot gases.
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Ferdous, Rayhan, Md Zahidul Islam, and Ferdous Bin Ali. "Identifying miRNA-mRNA interactions by a combination of spearman's rank correlation and IDA." In 2016 International Conference on Informatics, Electronics and Vision (ICIEV). IEEE, 2016. http://dx.doi.org/10.1109/iciev.2016.7760131.

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Reports on the topic "Spearman’s rank correlation"

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Brown, Yolanda, Twonia Goyer, and Maragaret Harvey. Heart Failure 30-Day Readmission Frequency, Rates, and HF Classification. University of Tennessee Health Science Center, 2020. http://dx.doi.org/10.21007/con.dnp.2020.0002.

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30 Day Hospital Readmission Rates, Frequencies, and Heart Failure Classification for Patients with Heart Failure Background Congestive heart failure (CHF) is the leading cause of mortality, morbidity, and disability worldwide among patients. Both the incidence and the prevalence of heart failure are age dependent and are relatively common in individuals 40 years of age and older. CHF is one of the leading causes of inpatient hospitalization readmission in the United States, with readmission rates remaining above the 20% goal within 30 days. The Center for Medicare and Medicaid Services imposes a 3% reimbursement penalty for excessive readmissions including those who are readmitted within 30 days from prior hospitalization for heart failure. Hospitals risk losing millions of dollars due to poor performance. A reduction in CHF readmission rates not only improves healthcare system expenditures, but also patients’ mortality, morbidity, and quality of life. Purpose The purpose of this DNP project is to determine the 30-day hospital readmission rates, frequencies, and heart failure classification for patients with heart failure. Specific aims include comparing computed annual re-admission rates with national average, determine the number of multiple 30-day re-admissions, provide descriptive data for demographic variables, and correlate age and heart failure classification with the number of multiple re-admissions. Methods A retrospective chart review was used to collect hospital admission and study data. The setting occurred in an urban hospital in Memphis, TN. The study was reviewed by the UTHSC Internal Review Board and deemed exempt. The electronic medical records were queried from July 1, 2019 through December 31, 2019 for heart failure ICD-10 codes beginning with the prefix 150 and a report was generated. Data was cleaned such that each patient admitted had only one heart failure ICD-10 code. The total number of heart failure admissions was computed and compared to national average. Using age ranges 40-80, the number of patients re-admitted withing 30 days was computed and descriptive and inferential statistics were computed using Microsoft Excel and R. Results A total of 3524 patients were admitted for heart failure within the six-month time frame. Of those, 297 were re-admitted within 30 days for heart failure exacerbation (8.39%). An annual estimate was computed (16.86%), well below the national average (21%). Of those re-admitted within 30 days, 50 were re-admitted on multiple occasions sequentially, ranging from 2-8 re-admissions. The median age was 60 and 60% male. Due to the skewed distribution (most re-admitted twice), nonparametric statistics were used for correlation. While graphic display of charts suggested a trend for most multiple re-admissions due to diastolic dysfunction and least number due to systolic heart failure, there was no statistically significant correlation between age and number or multiple re-admissions (Spearman rank, p = 0.6208) or number of multiple re-admissions and heart failure classification (Kruskal Wallis, p =0.2553).
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