Ordinal regression analysis
Visual grading characteristics and ordinal regression analysis during optimisation of CT head examinations
... and ordinal regression analysis in review of clinical images and anatomical criteria is limited and Table 2 AUC VGC results of one-paired sample ...
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Causal Measures for Prognostic and Predictive Biomarkers
... In this article, we defined causal measures that indicate whether a biomarker is prognostic and/or predictive. Our measure for prediction is the causal measure version of the interaction term used in ordinal ...
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Determination of Customer Satisfaction in Conservative Concept Hotels by Ordinal Logistic Regression Analysis
... for ordinal regression measures. In ordinal regression analysis, the dependent variable must be measured at ordinal ...logistic regression analysis and ...
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Comparison of AIMS2 SF, WOMAC, x ray and a global physician assessment in order to approach quality of life in patients suffering from osteoarthritis
... polytomous ordinal regression analysis that mirrors the dependence of the GP score on age, gender, education, on the AIMS2-SF scales "physical", "affect", "symptoms", ...
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Ordinal Regression Based Subpixel Shift Estimation for Video Super-Resolution
... novel regression coe ffi cient features represent- ing two patches, and their corresponding label is the subpixel shift between ...ranking/ordinal regression [5] to per- form subpixel shift ...
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Ordinal based Classification Techniques: A Survey
... the ordinal data labels are mapped to certain real numbers ...standardized regression-based algorithms and techniques are utilized for further ...in ordinal data, the distance between the classes is ...
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Psychological health is associated with knee pain and physical function in patients with knee osteoarthritis: an exploratory cross-sectional study
... may exacerbate depressive symptoms. Our findings chal- lenge the theory that individuals with greater pain at night had disturbed sleep quality and subsequent exacer- bation of depressive symptoms. However, this result ...
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Determinants of Food Access of Old People in Dire Dawa City, Ethiopia: An Ordinal Logistic Regression Analysis
... descriptive analysis resulted that ...The ordinal logistic regression identified income source, occupation, owning a house and type of membership organization as determinants of daily food access for ...
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Are oral health and fixed orthodontic appliances associated with sports injuries and postural stability in elite junior male soccer players?
... Results: Ordinal logistic regression with number of injuries in the past year as ordinal dependent variable and dental caries and/or gum problems, age and player position as covariates, showed that ...
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Meaningful regression and association models for clustered ordinal data
... clustered ordinal data focus on the regression model and consider the association structure within a cluster as a ...an analysis of stability and change in teenage marijuana use over time, where we ...
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Modeling Of Tow Wrinkling In Automated Fiber Placement Based On Geometrical Considerations
... Independence among data is a common assumption in regression analysis. Neverthe- less, in reality, data can be dependent in various ways. Generally speaking, there are two types of dependency in data. ...
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Depression Among Pregnant Latinas In South Carolina
... and regression are essential parts of many fields of studies such as engineering, agriculture, biomedical science, social science and business where the objectives of classifying units into one of several ...
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Modeling Context Words as Regions: An Ordinal Regression Approach to Word Embedding
... We have proposed a new word embedding model, which is based on ordinal regression. The input to our model consists of a number of rankings, cap- turing how strongly each word is related to each context word ...
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Role of Nrf2 in inflammatory response in lung of mice exposed to zinc oxide nanoparticles
... tiple regression analyses or multiple ordinal logistic re- gression analysis did not show significant interaction of ZnO-NPs exposure level and Nrf2 deletion for the above parameters, thus multiple ...
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Legal Aid Service Interventions and Women Empowerment: A Case of Morogoro Rural and Kongwa Districts, Tanzania
... counterparts. Ordinal logistic regression analysis results showed that involvement of women in LAS interventions, awareness of women legal rights, marital status and age at first marriage were the ...
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Joint longitudinal data analysis in detecting determinants of CD4 cell count change and adherence to highly active antiretroviral therapy at Felege Hiwot Teaching and Specialized Hospital, North-west Ethiopia (Amhara Region)
... The interactions between variables, which were not expected during the data collection process, were identi- fied during data analysis. The cause for these interaction occurrences was not detected and explained. ...
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Original Article Metabolic syndrome components were related to the risks of prostate cancer
... Abstract: Our study is to investigate the relationships between the metabolic syndrome (MS) components and the risks of the prostate cancer (PCa) in Chinese Han male population. We studied 186 PCa patients with or ...
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Application of ordinal logistic regression analysis in determining risk factors of child malnutrition in Bangladesh
... logistic regression (BLR) models are required to develop by grouping the response variable into two categories ...as ordinal and may apply ordinal logistic regression model for the same ...
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Gaussian Processes for Ordinal Regression
... We collected nine benchmark data sets (Set I in Table 1) that were used for metric regression prob- lems. The target values were discretized into ordinal quantities using equal-length binning. These bins ...
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Deep Ordinal Regression for Pledge Specificity Prediction
... specificity analysis work in NLP has modeled the task as classification or regres- ...an ordinal regression task. Some examples of ordi- nal regression tasks include sentiment rating pre- ...
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