Regression analysisBivariateLinear regressionUnivariateMethodsPredictorsLogisticAutoregressive ModelsMultilevel analysisNonparametricSpatial dataContextFindingsMortalityResultsConduct2016ParticleQuantitativeDescribePeriodsFrameworkPublicationParallelData analysisConclusionsResearchWealthStudiesPrincipal ComponenContributionCommonlyEstimationModelsStudyEconometricLiteratureRecentImplicationsContentWomenHealthApplicationsProvideIndependentValidityGraphicalStudentsProcessApplicationFound
Regression analysis5
- Briefly discuss the impact of non-stationarity in multivariate regression analysis. (bestacademiaessays.com)
- The presentation is accessible to students with intermediate undergraduate level courses in regression analysis and time series analysis. (routledge.com)
- This paper reports the prevalence of everyday discrimination experienced by Canadians and uses multivariate regression analysis to explore its socio-demographic and health related predictors. (ocasi.org)
- Multiple linear regression analysis, multicollinearity analysis and residual analysis were performed. (bmj.com)
- Multivariate linear regression analysis found significant relationship among job satisfaction and agreement with the IDESP and the self-efficacy of school managers. (bvsalud.org)
Bivariate3
- Descriptive, bivariate and multivariate analyses were conducted to describe and identify predictors of postpartum contraceptive utilization. (who.int)
- Thus the result of analysis is a tabular bivariate probability distribution. (itk.org)
- Data will be analyzed using bivariate and multivariate analyses as appropriate to answer the research questions. (ojp.gov)
Linear regression1
- The first part consists of basic theory and methods relating to multivariate linear regression, limited dependent variable regression and time series analysis. (lu.se)
Univariate4
- Conventional hydrologic frequency analysis has mainly focused on a single characteristic value such as peak discharge or flood volume by using univariate distribution. (iwaponline.com)
- Of these three aspects, the third one, i.e., the question of estimating multivariate return periods and quantile values, still has not yet been properly addressed in the multivariate frequency analysis framework ( Chebana & Ouarda 2011 ), although the estimation of return periods and quantile values has been extensively studied in univariate hydrological frequency analysis. (iwaponline.com)
- Independent prognostic factors were identified using univariate and multivariate Cox analysis. (hindawi.com)
- Univariate and multivariate logistic regression analyses were conducted. (nih.gov)
Methods13
- Many multivariate analysis methods and case studies have been proposed and discussed in the past decades. (iwaponline.com)
- Learning multivariate methods is a challenging task for undergraduate students. (cdio.org)
- In view of the crucial need for sound study design and appropriate statistical methods for analyzing environmental changes and their impacts on humans and various life forms and their ecological relationships, this program is intended to provide students with a strong background in the use of statistical methods of data analysis in environmental sciences. (mcgill.ca)
- The ade4 package for the R statistical environment proposes a great number of multivariate methods. (jstatsoft.org)
- Methods and Analysis The analytical prospective clinical study was conducted from April 2016 to July 2019, on a sample of 216 patients (aged between 2-58) with concomitant strabismus who underwent strabismus surgery in Clinical Republican Hospital 'Timofei Mosneaga'and Children Hospital 'Em Cotaga' from Republic of Moldova. (bmj.com)
- The following sections will discuss mathematical methods for the detection of clusters, a type of pattern that is characterised by locally increased densities. (taylorfrancis.com)
- k-means, hierarchical clustering, LDA and PLS-DA Discussion of cluster analysis: choice of similarity measure, agglomerative methods, divisive methods, k-means & hierarchical clustering. (sense.nl)
- Preliminary results are shown from subsequent studies comparing three different cultivation methods by means of PCA and partial least squares discriminant analysis (PLS-DA) of the HR-MAS NMR data. (chimia.ch)
- Using Data Envelopment Analysis methods, we measure the environmental efficiency and the productivity growth registered in public power generation across the EU over the 1996-2007 period. (repec.org)
- Using examples from different kinds of crop case studies, this presentation will outline a comprehensive introduction to statistical modeling, concrete analysis methods and skills, and the end results. (jmp.com)
- Over the years, mathematical and computer engineering advancements have inspired numerous scientists to use quantitative methods to evaluate disease prognosis, such as multivariate statistical analysis, and the precision of these studies is considerably higher than that of observational predictions. (benthamscience.com)
- It will then, through a detailed examination of various quantitative and qualitative methods, discuss the validity of these methods to various research questions and data. (lu.se)
- Particularly with the rise of multivariate methods, such as have been discussed in other ACAT parallel sessions, the discrimination between signal and back- ground is often tuned to predictions from Monte Carlo event generators. (lu.se)
Predictors2
- Significant predictors of physical abuse on multivariate regression were male sex (OR = 7.89) and extended family type (OR = 1.36). (who.int)
- Analysis of prognostic predictors consistently demonstrates the negative impact of higher age, preceding diarrhoea, greater disability/weaker muscles at admission, short interval between symptom-onset and admission, mechanical ventilation and absent/low amplitude compound muscle action potentials. (bmj.com)
Logistic1
- We performed descriptive and multivariate logistic and multinomial regression analyses. (cdc.gov)
Autoregressive Models2
- Proper multivariate conditional autoregressive models for spatial data analysis. (scienceopen.com)
- Our contribution here is to move to multivariate conditional autoregressive models and to provide rich, flexible classes which yield proper distributions. (scienceopen.com)
Multilevel analysis2
- In a second step, we presentthe results obtained by the conceptualization of multilevel analysis models/multivariate interdisciplinaryof the collected data (N = 21 care institutions, N = 148 residents). (theses.fr)
- We analyse Eurobarometer data (2004) using multilevel analysis. (socresonline.org.uk)
Nonparametric1
- Part of my dissertation was about creating nonparametric multivariate analysis tools with convex hull peeling and I used SDSS DR4 to apply those convex hull peeling tools to explore celestial objects in the multidimensional color space without projections (dimension reduction). (harvard.edu)
Spatial data2
- In the past decade conditional autoregressive modelling specifications have found considerable application for the analysis of spatial data. (scienceopen.com)
- It also provides a vast image reservoir as well as the catalog of massive multivariate spatial data. (harvard.edu)
Context4
- In this context, develop the concept of cointegration, with a focus on the contribution of cointegration in multivariate analysis. (bestacademiaessays.com)
- Linguistically based assertions are frequently cited and discussed in the context of the subject of the Book of Mormon, both in favor of and against the book's claimed origins. (wikipedia.org)
- Such clusters are assumed to be indicative of higher frequencies of human activities, i.e., they represent "hotspots" of social processes (note that this deviates from the use of the term "cluster" within the context of multivariate clustering analysis as discussed by Mucha et al. (taylorfrancis.com)
- We frame this simulation study in the context of sleep research, which consists of multivariate continuous data that displays considerable overlap in the state dependent component distributions. (arxiv.org)
Findings3
- The implications of these findings for social policy are discussed. (ocasi.org)
- His work includes significant, original, inspiring and groundbreaking findings in statistical decision theory and Bayesian analysis, as well in statistical applications and consulting. (projecteuclid.org)
- In this presentation, we will discuss findings from multivariate pattern analysis of electrophysiological data revealing the temporal dynamics of such reinstatement during retrieval and its consequences for episodic remembering. (lu.se)
Mortality1
- Different demographic indicators of living standards, such as life expectancy, infant mortality and demographic responses to economic fluctuations, are discussed and compared with other well-being indicators in an assessment of the long-term global development of standard of living. (lu.se)
Results6
- Discussion sessions help students strengthen their multivariate techniques results interpretation skills. (cdio.org)
- This two-fold talk presents some recent results using multivariate technique in a unimodal and multimodal datasets for schizophrenia. (imsc.res.in)
- In multivariate modelling, whether we adjusted for or considered organisational stressors as coincident exposures, results showed that pregnant workers exposed to biomechanical stressors had increased employment withdrawal compared to the unexposed. (cdc.gov)
- Research questions include the examinations of how evidence contributes to an investigation, how evidence combines with other investigative procedures to lead to arrest, how investigators decide the items of evidence to submit for forensic analysis, and how results from forensic analysis influence the direction of investigations. (ojp.gov)
- The results were discussed seeking to contextualize them according to the career conditions and educational policies directly related to school administrators. (bvsalud.org)
- The results of surveys, analyses, and studies are made known through a number of data release mechanisms including publications, mainframe computer data files, CD-ROMs (Search and Retrieval Software, Statistical Export and Tabulation System (SETS)), and the Internet (http://www.cdc.gov/nchswww/nchshome.htm). (cdc.gov)
Conduct1
- Following, we conduct multivariate analyses predicting the number of hours students are working while enrolled in college in two time periods. (nlsinfo.org)
20162
- 2016. Functional classification of bioturbating macrofauna in marine sediments using time-resolved imaging of particle displacement and multivariate analysis. (eol.org)
- Biogeosciences Discuss, 13 Oct. 2016. (eol.org)
Particle1
- This talk will review orbital angular momentum in classical optics, examine how to adapt the idea to particle states in quantum field theory, and discuss possible applications to quantum cryptography. (fau.edu)
Quantitative2
- Also discussed is the Dark Core, as well as quantitative issues such as limitations of commonly used statistical treatments, such as multivariate analyses, bifactor modeling, and composite measures, and proposed solutions to some of these issues. (uwo.ca)
- QIM (the Center for Quantification of Imaging Data from Max IV) - a cross-border collaboration platform for 3D/4D imaging at large-scale imaging facilities, aimed at developing algorithms for quantitative image analysis. (lu.se)
Describe2
- The aim of the present study was to describe the relationships between asbestos exposure and pleural plaques and asbestosis in a large cohort of formerly asbestos-exposed workers, and to assess asbestos exposure parameters linked to the presence of HRCT features of these two diseases by means of multivariate analysis. (ersjournals.com)
- I will describe some recent analyses that went off track, and discuss how to prevent falling into such traps. (jmp.com)
Periods1
- 3) estimating multivariate return periods and quantile values. (iwaponline.com)
Framework1
- Multivariate time series analysis provides the basic framework for identifying the patterns of network interactions in these data. (fau.edu)
Publication1
- This (from a narrative, but not entirely logical perspective) leads me to my point : I did not understand why my (literature-based) meta-analysis funnel plot was asymmetrical, given the facts that 1°) I thought I had gathered all the existing literature (or at least I had included everything I had found) and 2°) I thought asymmetry meant publication bias. (ethz.ch)
Parallel1
- The second part of the talk will discuss a multivariate approach called parallel ICA for multimodal fusion analysis of fractional anisotropy (FA) images and single nucleotide polymorphisms (SNP) (C.N.Gupta et al, Frontiers in Human Neuroscience, 2015). (imsc.res.in)
Data analysis3
- This presentation will start with an overview of the data analysis trends in many leading innovation companies, especially in product design, development, qualification, production, and maintenance. (jmp.com)
- As a special example of new trends in data analysis, the authors look at the product reliability quantification under sub-healthy conditions - a fractional failure-based reliability assessment methodology. (jmp.com)
- Data analysis has been integrated into the corporate culture. (jmp.com)
Conclusions1
- Whether you work in the economic, physical, or life sciences, the book shows you how to draw meaningful, applicable, and statistically valid conclusions from multivariate (or vector) time series data. (routledge.com)
Research6
- His research interests include time series analysis, statistical learning, and stochastic optimization. (routledge.com)
- His research interests include time series analysis, seasonal modeling, and statistical applications, particularly in ecology. (routledge.com)
- Finally, we discuss avenues for further research in order to refine ourunderstanding of the environmental factors that can generate and/or attenuate behavioral andsensory processing disorders observed in individuals with ASD. (theses.fr)
- Meta-analyses of the research generally have supported this conclusion. (journalistsresource.org)
- With the help of modern analysis software like JMP, crop research will be easier. (jmp.com)
- CIPA (Correlative Image Processing and Analysis) - a local research infrastructure at Lund University with the aim of reducing the gap between the amount of acquired and consequently analysed images. (lu.se)
Wealth2
- Despite a wealth of excellent resources describing the decision analysis of diagnostics, two critical errors persist: not including diagnostic test accuracy in the structure of decision trees and treating sequential diagnostics as independent. (mdpi.com)
- There is an emphasis on basic principles with many unique insightful approaches such as the introduction of frequency domain thinking using harmonic contrasts and many other such insights…this book contains a wealth of fascinating multivariate time series ranging from applications in finance, economics, management science, ecology, manufacturing, climate change and biology. (routledge.com)
Studies1
Principal Componen2
- Data exploration using Principal Component Analysis (PCA) and regression using the principal components from PCA in Principal Component Regression, PCR. (sense.nl)
- The feasibility of HR-MAS NMR-based multivariate analysis is demonstrated by a study distinguishing three different apple cultivars by principal component analysis (PCA). (chimia.ch)
Contribution1
- This book is a valuable contribution to researchers and students working with time series with emphasis on multivariate time series including both the time domain and frequency domain approaches. (routledge.com)
Commonly1
- This mega-analysis confirmed that the commonly found gray matter loss for patients with schizophrenia in the anterior temporal lobe, insula and medial frontal lobe form a single consistent spatial pattern even across a diverse aggregated and multiple datasets. (imsc.res.in)
Estimation1
- We discuss how the characteristics of the data influence parameter estimation and provide recommendations to researchers seeking to apply the mHMM to their own data. (arxiv.org)
Models1
- This book covers the three important pillars of multiple time series-vector autoregressive modeling, spectral analysis, and graphical models-a useful characteristic for a modern book on time series since each brings new insights to the analyses and each has the ability to complement the other. (routledge.com)
Study2
- The Cleveland, Ohio, Police Department has agreed to cooperate in this study by providing access to investigative reports and forensic analysis reports, as well as access to homicide investigators to discuss their assigned cases. (ojp.gov)
- That is, while plenty of individual LHC physics analyses have considered private plots of a generator's predictions, there has not been a study broad enough to provide side-by-side displays of how different simulation codes perform, both with respect to each other and to data from previous experiments. (lu.se)
Econometric1
- In the second stage of our analysis we attempt to explain changes in productivity and efficiency over time using state-of-the-art econometric techniques. (repec.org)
Literature3
- The numerous examples used to illustrate techniques covered in the chapters are easy to follow and this makes the book very useful…The choice of content for the chapters as well as the references for topics covered in the book is excellent…it is a valuable addition to the literature on time series analysis. (routledge.com)
- Literature discusses several methodological strategies that bring active learning into the classroom (Hall et al. (cdio.org)
- The literature on the use of AI for cancer diagnosis and prognosis is discussed in this part. (benthamscience.com)
Recent2
- In multivariate analyses, women who did not discuss postpartum family planning with their husbands, had not used contraception previous to the recent birth, and had experienced physical violence or forced sex were more likely to not use postpartum contraception (adjusted odds ratios=1.47-1.77). (who.int)
- Oh, by the way, the paper discusses changes and improvement in the recent data release. (harvard.edu)
Implications2
Content2
- In order to gather data for an initial assessment of the fishing practices of land-based anglers and their perspectives on shark conservation issues, we performed a content and discourse analysis of an online discussion forum used by the largest land-based shark fishing club in Florida. (researchgate.net)
- Discussion board content analysis can identify evidence that certain perceptions or practices exist within a studied sample, but cannot be used to estimate how common those perceptions and practices are among the wider population. (researchgate.net)
Women1
Health1
- Pleural fluid analysis the Minnesota Department of Health was contacted regard- showed a leukocyte count of 3,389 cells/mL (neutrophils ing a patient with pneumonia who had blood cultures posi- 38%, lymphocytes 56%, monocytes 6%), a lactate dehy- tive for nonhemolytic gram-positive rod-shaped bacilli. (cdc.gov)
Applications1
- Building Autonomous Image Analysis Systems for Applications in Ecology by Alexandros Sopasakis, CIPA. (lu.se)
Provide1
- These analyses provide a and/or morbidity rates. (cdc.gov)
Independent2
- The first part introduces multivariate approach (namely independent component analysis) and applies it to a multisite structural magnetic resonance imaging datasets (C.N.Gupta et al, Schizophrenia Bulletin 2015). (imsc.res.in)
- While published analyses must be virtually independent of such modelling assumptions, the accuracy of the physics description provided by the simulation codes is crucial for efficient exploitation of LHC data. (lu.se)
Validity1
- The clinical validity of the nomogram was evaluated by decision curve analysis (DCA). (hindawi.com)
Graphical1
- Modern graphical analysis: are we honouring our founding fathers? (excelcharts.com)
Students1
- Presented analyses reveal a substantial amount of stability in social class inequality over time, with a modest increase in inequality among students attending four-year institutions full-time. (nlsinfo.org)
Process2
Application2
- application of his/her new machine learning and statistical multivariate analysis tools for new discoveries. (harvard.edu)
- This paper explores its application and development prospects by analyzing the fundamental principle of AI and its application in the medical-relevant industry and discusses its role in the medical field, which is more an aid than a substitute. (benthamscience.com)
Found1
- I wanted to try and make sure I was not doing things that did not make scientific sense, and I 'found out' that funnel plots were (or I percieved them as) a way of getting an indication of the quality / correctness of the analysis. (ethz.ch)