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Adaptive regression splinesLogistic regression analysisQuantile regressionUnivariate analysisMethodsOrdinalBivariateResultsMultilevelKaplan-MeierPoissonEpidemiologyPandemicLinearModelRisk FactorsAnalyseVariableCorrelationRandom ForestsOddsSurvivalPrognosticStatisticsManuscriptData AnalysisMARSRetrospective analysisQuantitativeAssessOutcomeEstimateConclusions1991RelationshipSignificantlyTotalMultipleFactorsNormal
Adaptive regression splines2
  • In statistics, multivariate adaptive regression splines (MARS) is a form of regression analysis introduced by Jerome H. Friedman in 1991. (wikipedia.org)
  • 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)
Logistic regression analysis4
  • 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)
  • 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)
  • This case-control study, using multivariate logistic regression analysis, showed a less pronounced association between ulcerative colitis and appendectomy than previous reports. (nih.gov)
  • multivariate logistic regression analysis found that tortilla chips were the only food item associated with illness. (cdc.gov)
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)
Univariate analysis3
  • 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)
Methods5
  • 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)
  • Use classical methods in Minitab Statistical Software, integrate with open-source languages R or Python, or boost your capabilities further with machine learning algorithms like Classification and Regression Trees (CART ® ) , TreeNet ® and Random Forests ® , now available in Minitab's Predictive Analytics Module . (minitab.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)
  • 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)
Ordinal1
  • Analysis was performed using ordinal multivariate logistic regression modeling. (scienceblog.com)
Bivariate1
  • Bivariate and multivariate analyses were conducted and logistic regression odds ratios were estimated. (springer.com)
Results7
  • 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)
  • To estimate the overall a systematic review, there were three criteria used national direct medical cost of all HAIs, this to identify the most appropriate cost estimates for analysis used results from two studies employing use in this analysis. (cdc.gov)
  • 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)
  • This book covers fundamental concepts on Neural Networks including Multivariate Statistics Neural Networks, Regression Neural Network Models, Survival Analysis Networks, Time Series Forecasting Networks, Control Chart Networks, and Statistical Inference Results. (routledge.com)
  • This report summarizes the results of that analysis, which indicate that a higher risk for arthritis is associated with older age, overweight, or obesity and that a lower risk is associated with being Asian/Pacific Islander or Hispanic or with having a higher education level. (cdc.gov)
  • 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)
Multilevel2
  • χ2, univariate and multivariate logistic regression and multilevel analyses were performed. (nivel.nl)
  • Data Analysis Using Regression and Multilevel/Hierarchical Models. (lu.se)
Kaplan-Meier1
  • Kaplan-Meier and Cox regression analyses were used to compare progression free survival (PFS) and overall survival (OS) between the groups. (springer.com)
Poisson1
  • Multivariate analysis was performed using the Poisson regression. (bvsalud.org)
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)
Pandemic3
  • 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)
  • Data on patients admitted to hospital in Queensland with confirmed pandemic A(H1N1) 2009 infection were included in this analysis. (who.int)
  • The aims of the analysis were to describe the demographic and clinical characteristics of patients hospitalized with pandemic A(H1N1) 2009 infection in Queensland (between 25 May and 3 October 2009) and to examine the relationship between timing of antiviral treatment and severity of illness. (who.int)
Linear7
  • Both univariate and multiple linear regression analyses of quality of life data were performed. (nature.com)
  • It is a non-parametric regression technique and can be seen as an extension of linear models that automatically models nonlinearities and interactions between variables. (wikipedia.org)
  • The data at the extremes of x indicates that the relationship between y and x may be non-linear (look at the red dots relative to the regression line at low and high values of x). (wikipedia.org)
  • Design Linear regression analysis of routinely reported trust activity and performance data using a series of cross-sectional studies. (bmj.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)
  • This set of exercises focuses on forecasting with the standard multivariate linear regression. (r-bloggers.com)
  • Uni- and multivariate linear meta-regression analysis revealed several statistically significant group-wise associations. (lu.se)
Model7
  • Machine learning is a method of data analysis that automates analytical model building. (sas.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)
  • We propose a finite mixture multivariate logit model to derive segment-specific intercategory effects of market basket purchase. (repec.org)
  • Association between independent and dependent variables was analyzed using binary logistic regression model. (who.int)
  • To examine the relative importance of these factors, CDC used data from the 1989-1991 National Health Interview Survey (NHIS) and a multivariate model to estimate the independent effect of each factor on self-reported arthritis. (cdc.gov)
  • Because stratified analyses suggested that the effect of BMI on arthritis differed by sex, the model was applied separately to men and women. (cdc.gov)
  • Using data from the Queensland Health EpiLog information system, descriptive analysis and logistic regression modelling were used to describe and model factors which influence patient outcomes (death, admission to intensive care unit and/or special care unit). (who.int)
Risk Factors2
  • We analyzed selected risk factors with uni- variate statistical techniques ( 6 ) and stepwise multivariate logistic regression ( 7 ). (cdc.gov)
  • Univariate and multivariate regression analyses were performed to determine possible risk factors for aneurysmal retreatment. (ajnr.org)
Analyse1
  • 3. RFLPtools - RFLPtools provides functions to analyse DNA fragment samples (i.e. derived from RFLP-analysis) and standalone BLAST report files (i.e. (r-project.org)
Variable2
  • 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)
  • In the previous exercises of this series, forecasts were based only on an analysis of the forecast variable. (r-bloggers.com)
Correlation2
  • Correlation analysis is one of the most popular techniques for data exploration. (r-bloggers.com)
  • This set of exercises is intended to help you to extend, speed up, and validate your correlation analysis. (r-bloggers.com)
Random Forests1
Odds1
  • Multivariate logistic regression was performed to predict the odds of developing hypothyroidism. (medscape.com)
Survival4
Prognostic1
  • In univariate and multivariate Cox regression analyses, GSDMC, IRF1, and PLCG1 were identified as prognostic biomarkers in PAAD. (hindawi.com)
Statistics2
  • This book brings together data analysis from statistics to computer science using neural networks. (routledge.com)
  • 4 Multivariate Statistics and Neural Networks. (routledge.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)
Data Analysis1
  • Access modern data analysis and explore your data even further with our advanced analytics. (minitab.com)
MARS1
  • We see that MARS can build quite flexible regression surfaces by combining hinge functions. (wikipedia.org)
Retrospective analysis1
  • We present findings from a retrospective analysis of data collected by this new surveillance system. (who.int)
Quantitative2
  • 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)
  • The course also introduces computer software for quantitative analysis. (lu.se)
Assess1
  • Multivariate logistic regression was used to assess the relation between self-reported arthritis and age, race, ethnicity, education, and BMI. (cdc.gov)
Outcome1
  • Fundamentally, trauma outcome prediction is a multivariate problem. (medscape.com)
Estimate2
  • The fourth section develops an estimate medical costs of HAIs based on published studies of the annual national direct medical costs of selected for this analysis. (cdc.gov)
  • While this report itself is not a meta-analysis or cost estimate for all HAIs. (cdc.gov)
Conclusions1
  • There are potentially some data quality issues around the variables used in the analysis, which may influence the conclusions. (bmj.com)
19911
  • Indeed, a morphometric approach exists-Euclidean Distance Matrix Analysis (EDMA, see Lele and Richtsmeier 1991) that employs precisely this strategy. (palass.org)
Relationship1
  • Functional enrichment analysis showed that the DEPRGs had a close relationship with inflammation. (hindawi.com)
Significantly1
  • Multivariate logistical regression analysis showed that obese individuals had a significantly increased risk of fatty liver disease, suggesting a synergistic effect. (medscape.com)
Total1
  • Multivariate analysis showed that change in total SGRQ score summed changes in a number of aspects of disease activity. (nih.gov)
Multiple1
  • Our new interactive tool with an easy-to-browse gallery lets you view and explore multiple graph options without re-running your analysis. (minitab.com)
Factors1
  • Resurging interest in machine learning is due to the same factors that have made data mining and Bayesian analysis more popular than ever. (sas.com)
Normal1
  • For this analysis, BMI (weight {kg}/height {m}2) was divided into four categories: underweight (BMI less than 20), normal weight (20 less than or equal to BMI less than 25), overweight (25 less than or equal to BMI less than 30), and obese (BMI greater than or equal to 30) (9). (cdc.gov)