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Regression AnalysisMultivariate AnalysisRisk FactorsLogistic ModelsRetrospective StudiesPrognosisCross-Sectional StudiesProspective StudiesCohort StudiesPredictive Value of TestsAge FactorsLinear ModelsTreatment OutcomeFollow-Up StudiesTime FactorsSeverity of Illness IndexSex FactorsBiological MarkersQuestionnairesCase-Control StudiesBody Mass IndexUnited StatesRisk AssessmentOdds RatioPrevalenceSocioeconomic FactorsSurvival AnalysisSurvival RateProportional Hazards ModelsLongitudinal StudiesAnalysis of VarianceROC CurveChi-Square DistributionComorbidityIncidenceChinaKaplan-Meier EstimateObesitySmokingInfant, NewbornHypertensionBlood PressureJapanC-Reactive ProteinPregnancyReproducibility of ResultsNeoplasm StagingDisease ProgressionRecurrenceReference ValuesEuropean Continental Ancestry GroupAfrican AmericansHealth StatusQuality of LifeChronic DiseaseTumor Markers, BiologicalBreast NeoplasmsStatistics as TopicCardiovascular DiseasesNetherlandsPostoperative ComplicationsUrban PopulationDiabetes Mellitus, Type 2GenotypeTunica MediaHealth SurveysRenal DialysisStatistics, NonparametricHospitalizationCreatinineBlood GlucoseStrokeAlcohol DrinkingCarotid Artery DiseasesHospital MortalitySensitivity and SpecificityAgingTomography, X-Ray ComputedDiastoleDisease-Free SurvivalDepressionDiabetes MellitusEchocardiographyAsian Continental Ancestry GroupCoronary Artery DiseaseMyocardial InfarctionOutcome Assessment (Health Care)Length of StayKidney Failure, ChronicCarotid ArteriesVentricular Dysfunction, LeftSex CharacteristicsHIV InfectionsCarotid Artery, CommonGlomerular Filtration RateNatriuretic Peptide, BrainCoronary DiseaseMagnetic Resonance ImagingDiabetic AngiopathiesAlbuminuria
Multiple linear regression aPartial least squaConditional logistic regressionUnivariate analysisUnconditional logisticBivariateLogistic regression modelQuantile RegressionVarianceOrdinalResultsMultilevelMethodsLinearMonte CarloEpidemiologyProportionalCluster AnalysisModelsOutcomeQuantitative analysisEstimationMultivariableManuscriptSensitivityFactorsModelQuestionnaireDiscriminant analysisSocial sciencesPrognosticSamplingSPSSClassificationRiskVariablesFavorableStudyStatisticsObjectiveData AnalysisIndependentMeansConceptsScoreJournalResearchPrevention
Multiple linear regression a1
Partial least squa2
  • Currently, many chemometric analytical methods have been applied to LIBS calibration analysis, including univariate regression, multivariate regression, principal component regression (PCR), partial least squares regression (PLSR) and so on. (intechopen.com)
  • The course covers the basics, principles and limitations for the most common methods for multivariate statistics (analysis of variance, principal component analysis and partial least squares regression), experimental design (super-saturated and factorial designs) and method validation with a focus on practical use. (lu.se)
Conditional logistic regression1
  • Multivariate analyses were conducted using conditional logistic regression. (bmj.com)
Univariate analysis5
  • Results of the univariate analysis have been reported previously. (nature.com)
  • 0.05), and confirmed the results of the univariate analysis. (nature.com)
  • The univariate analysis and multivariate logistic regression were used to analyze the cross-sectional data. (plos.org)
  • The potential risk factors of the neonatal tetanus group were compared with the control group using univariate analysis and an unconditional logistic regression model. (who.int)
  • Univariate analysis showed that the odds of having untrained birth attendants, home delivery, an unsterile method of delivery and being a migrant to Wenzhou were significantly different between the two groups ( P (who.int)
Unconditional logistic1
  • Analyses used multivariate unconditional logistic regression. (who.int)
Bivariate2
  • Bivariate and multivariate analyses were conducted and logistic regression odds ratios were estimated. (springer.com)
  • Bivariate analyses identified significant differences in mean use of HPDs by age, years of employment, and trade group. (cdc.gov)
Logistic regression model1
  • Association between independent and dependent variables was analyzed using binary logistic regression model. (who.int)
Quantile Regression4
  • Quantile Regression as introduced by Koenker and Bassett (1978) seeks to complement classical linear regression analysis. (wikibooks.org)
  • Quantile Regression goes beyond this and enables one to pose such a question at any quantile of the conditional distribution function. (wikibooks.org)
  • The following seeks to introduce the reader to the ideas behind Quantile Regression. (wikibooks.org)
  • Finally, Quantile Regression is presented, along with an example utilizing the Boston Housing data set. (wikibooks.org)
Variance3
  • instead of finding hyperplanes of maximum variance between the response and independent variables, it finds a linear regression model by projecting the predicted variables and the observable variables to a new space. (wikipedia.org)
  • Analysis of Variance with Multiple Factors. (routledge.com)
  • Multivariate Analysis of Variance (MANOVA). (routledge.com)
Ordinal1
  • Analysis was performed using ordinal multivariate logistic regression modeling. (scienceblog.com)
Results6
  • The results show that the proposed MARS-based MCS is a favorable and useful tool for the system reliability analysis of soil slopes. (edu.hk)
  • Results Univariate regression results using the outcome of 4-hour breaches showed clear relationships with empty night beds and ED conversion ratio between 2012 and 2016. (bmj.com)
  • To confirm the results from the discovery sample, we next repeated the PRS analysis in a replication sample (GenADA case/control: 799/778) and then performed a meta-analysis with the PRS results from both samples. (nature.com)
  • RESULTS: Analysis revealed that neither pre-existing cerebrovascular disease nor all-cause dementia increased mortality or the risk for ICU admission. (bvsalud.org)
  • Judgement and approach · individually perform and present an analysis on a subject from economic history using econometric models on empirical data, · interpret as well as discuss the results from this analysis using theory and tools learned from the course. (lu.se)
  • The course introduces students to methods for how to analyze a quantitative problem using econometric analysis, and how to report and discuss the results in a research paper. (lu.se)
Multilevel2
  • χ2, univariate and multivariate logistic regression and multilevel analyses were performed. (nivel.nl)
  • Data Analysis Using Regression and Multilevel/Hierarchical Models. (lu.se)
Methods6
  • Methods Univariate and multivariate linear regression models were used to show relationships between the outcome measures and various measures of trust activity including empty day beds, empty night beds, day bed to night bed ratio, ED conversion ratio and delayed transfers of care. (bmj.com)
  • Common statistical methods and graphical illustration will be applied to the analysis of class data. (edu.au)
  • We present a review on the implementation of regularization methods for the estimation of additive nonparametric regression models with instrumental variables. (degruyter.com)
  • The book is split into four distinct sections for undergraduate research methods education: the approach, the foundations of research design, quantitative analysis and qualitative data. (e-elgar.com)
  • METHODS: A retrospective analysis was conducted of all patients with SARS-CoV-2 infection, confirmed by polymerase chain reaction test, admitted to the University Medical Center Hamburg-Eppendorf from 20 December 2021 until 15 August 2022. (bvsalud.org)
  • The course will cover basic theory and methods relating to multivariate linear regression and time series analysis. (lu.se)
Linear7
  • Both univariate and multiple linear regression analyses of quality of life data were performed. (nature.com)
  • Design Linear regression analysis of routinely reported trust activity and performance data using a series of cross-sectional studies. (bmj.com)
  • Binary Classification with Linear Discriminant Analysis. (routledge.com)
  • Finally, we conducted a linear regression analysis to assess the correlation between the PRSs for the significant genera and the APOE genotypes. (nature.com)
  • Most physicians are familiar with the simplest form of regression analysis, simple linear regression, which describes the linear relationship between 2 variables. (medscape.com)
  • Uni- and multivariate linear meta-regression analysis revealed several statistically significant group-wise associations. (lu.se)
  • Multivariable linear regression models were applied. (bvsalud.org)
Monte Carlo2
  • This paper presents a system reliability analysis approach for layered soil slopes based on multivariate adaptive regression splines (MARS) and Monte Carlo simulation (MCS). (edu.hk)
  • Through Monte Carlo simulations, we discuss the finite sample properties of each regularization method for different smoothness properties of the regression function. (degruyter.com)
Epidemiology1
  • Publications that include Dr. Scott Lee (at the Center for Surveillance, Epidemiology, and Laboratory Services) or Dr. Wei Yu (at the Office of Genomics and Precision Public Health) make a great effort to ensure readers understand how their analysis can be replicated using open source software and archived algorithms. (cdc.gov)
Proportional2
  • The independent risk stratification value was evaluated by multivariate Cox proportional risk analysis. (medscimonit.com)
  • A multivariate Cox proportional hazards model showed higher RI-SUV and higher extent of fibrosis score as independent predictors of shorter progression-free survival. (snmjournals.org)
Cluster Analysis1
Models1
  • Outcome data were collected prospectively, and analysed using multivariate regression models. (springer.com)
Outcome2
  • Multivariate regression analysis showed that tirofiban treatment independently predicted a favorable functional outcome ( P ≤ 0.001). (frontiersin.org)
  • Fundamentally, trauma outcome prediction is a multivariate problem. (medscape.com)
Quantitative analysis2
  • However, because of its inherent uncertainty features of plasma, it is still a big challenge for LIBS community worldwide to realize high sensitivity and accurate quantitative analysis. (intechopen.com)
  • The course also introduces computer software for quantitative analysis. (lu.se)
Estimation1
  • 2015. "Adaptive Estimation of Functionals in Nonparametric Instrumental Regressions. (degruyter.com)
Multivariable1
  • Dr. Moeller explained that after adjusting for donor age and sex and patient age, gender, and sex, having a white donor was still associated with a higher recurrent hepatitis score on multivariable analysis. (scienceblog.com)
Manuscript2
  • This manuscript performs multivariate analysis of the financial markets during the COVID-19 period and thus correlates its impact on the worldwide economy. (inderscience.com)
  • The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. (plos.org)
Sensitivity1
  • The sensitivity analysis further confirmed the incremental value of the De Ritis ratio for adverse cardiovascular events. (medscimonit.com)
Factors3
  • We analyzed selected risk factors with uni- variate statistical techniques ( 6 ) and stepwise multivariate logistic regression ( 7 ). (cdc.gov)
  • The association between disease status and risk factors was assessed by Pearson's chi-squared test and the independent contribution of each risk factor was analyzed by means of logistic regression analysis. (nih.gov)
  • Univariate and multivariate regression analyses were performed to determine possible risk factors for aneurysmal retreatment. (ajnr.org)
Model1
  • Using the largest genome-wide association study of gut microbiota genera from the MiBioGen consortium, we used polygenic risk score (PRS) analyses with the "best-fit" model implemented in PRSice-2 and determined the genetic correlation between 119 genera and AD in a discovery sample (ADc12 case/control: 1278/1293). (nature.com)
Questionnaire2
  • 122 respondents returned the questionnaire, which are utilized for the analysis purpose. (researchgate.net)
  • This analysis includes 9680 women with singleton live births who completed the baseline questionnaire. (springer.com)
Discriminant analysis2
  • Partial least squares discriminant analysis (PLS-DA) is a variant used when the Y is categorical. (wikipedia.org)
  • Discriminant Analysis, Random Forests. (uni-bayreuth.de)
Social sciences1
  • Although the original applications were in the social sciences, PLS regression is today most widely used in chemometrics and related areas. (wikipedia.org)
Prognostic2
  • In univariate and multivariate Cox regression analyses, GSDMC, IRF1, and PLCG1 were identified as prognostic biomarkers in PAAD. (hindawi.com)
  • Diagnostic and prognostic values were assessed by Kaplan-Meier Plotter, Cox regression analysis, and ROC curve. (medsci.org)
Sampling2
  • His areas of Research Interests are Inventory modeling, Sampling plans and Data Analysis. (routledge.com)
  • Successful scientific surveys and experiments rely on a sound design, sampling strategy and analysis of data. (edu.au)
SPSS2
  • He has authored a book titled 'Statistics Made Simple' using Excel and SPSS, apart from delivering lectures on software based analysis and interpretation. (routledge.com)
  • The data were analysed using SPSS version 16.0. (who.int)
Classification1
Risk6
  • The logistic regression analysis showed that appendectomy and tonsillectomy have no independent association with the risk of developing ulcerative colitis, whereas in Crohn's disease both appendectomy and tonsillectomy have positive associations. (nih.gov)
  • Multifactorial Cox regression analysis revealed that a high De Ritis ratio was an independent risk factor for MACCE (HR=2.96, 95% CI: 1.29-6.78, P =0.01) and all-cause mortality (HR=3.61, 95% Cl: 1.31-9.86, P =0.012). (medscimonit.com)
  • This meta-analysis aimed to investigate whether FLD or NAFLD carry a higher risk of untoward outcomes in AP. (mdpi.com)
  • Meta-analysis with discovery and replication samples confirmed that ten genera had a significant correlation with AD, four of which were significantly associated with the APOE rs429358 risk allele in a direction consistent with their protective/risk designation in AD association. (nature.com)
  • The microenvironments of the low- and high-risk groups were assessed using xCell, the expression of immune checkpoints was determined, and gene set variation analysis (GSVA) was performed. (hindawi.com)
  • Multivariate logistical regression analysis showed that obese individuals had a significantly increased risk of fatty liver disease, suggesting a synergistic effect. (medscape.com)
Variables3
  • There are potentially some data quality issues around the variables used in the analysis, which may influence the conclusions. (bmj.com)
  • PLS regression is particularly suited when the matrix of predictors has more variables than observations, and when there is multicollinearity among X values. (wikipedia.org)
  • Multivariate logistic regression assessing the independent effects of these variables found significant differences only by trade group. (cdc.gov)
Favorable1
  • Survival analysis showed high STARD12 expression was associated with favorable overall survival, disease special survival as well as disease free survival, while STARD14 showed the opposite. (medsci.org)
Study2
  • The aim of the present study was to analyse determinants of lung function in 7‐yr-old children with different wheezing patterns (early, persistent and late onset) in a prospective cohort study. (ersjournals.com)
  • This case-control study, using multivariate logistic regression analysis, showed a less pronounced association between ulcerative colitis and appendectomy than previous reports. (nih.gov)
Statistics2
  • This book explains the advanced but essential concepts of Multivariate Statistics in a practical way while touching the mathematical logic in a befitting manner. (routledge.com)
  • The aim of the course is to supply the student with fundamental theoretical knowledge in experimental design, multivariate statistics and quality assurance, and skills in the use of associated statistical tools. (lu.se)
Objective1
  • In conclusion, the analyses established quantitative exposure-response relationships between neck and shoulder disorders and objective measures of the physical workload on the arm. (lu.se)
Data Analysis1
  • I directly participated in the development of the research protocol and instruments, helped coordinate the field work, and assisted with data analysis for the project about which I will present. (confex.com)
Independent2
  • On the other hand, multivariate Cox analysis showed higher RI-SUV and lower forced vital capacity to be independent predictors of shorter overall survival. (snmjournals.org)
  • Multiple regression is an extension of this technique, in which more than one independent variable is used to describe a single, continuous dependent variable. (medscape.com)
Means1
Concepts1
  • This unit introduces students to intermediate-level concepts and practice for planning, implementing, analysing and interpreting surveys and experiments. (edu.au)
Score2
  • PLS is composed of iteratively repeating the following steps k times (for k components): finding the directions of maximal covariance in input and output space performing least squares regression on the input score deflating the input X {\displaystyle X} and/or target Y {\displaystyle Y} PLS1 is a widely used algorithm appropriate for the vector Y case. (wikipedia.org)
  • Multivariate analysis showed that change in total SGRQ score summed changes in a number of aspects of disease activity. (nih.gov)
Journal2
  • Article: Multivariate economic analysis of the government policies and COVID-19 on financial sector Journal: International Journal of Computer Applications in Technology (IJCAT) 2021 Vol.66 No.3/4 pp.294 - 302 Abstract: The sudden pandemic outbreak of COVID-19 has led to disruption in trade, travel and commerce by halting manufacturing, industries, and all other sundry activities. (inderscience.com)
  • Journal of Multivariate Analysis 101: 395-408. (degruyter.com)
Research1
  • Multivariate Behavioral Research, 26 (3),449-510. (bvsalud.org)
Prevention1
  • The development of appropriately targeted prevention strategies requires more analysis of relevant population groups. (springer.com)