Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 125 for “"categorical variables"”.
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A longitudinal behavior genetic model for ordered categorical variables
… of longitudinal twin data consisting of ordered categorical variables was proposed. Proportional changes in response categories across time were modeled within growth curve by means of mean and variance changes in underlying continuous variables. Variances of the growth factors were decomposed …
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Models and Graphics in the Analysis of Categorical Variables: The Case of the Youth Tobacco Survey.
… which are of relative recent appearance in categorical data analysis, will be examined, including logistic and log-linear modeling as well as graphical displays and correspondence analysis. These methods will be applied to data from the 2000 Tennessee Youth Tobacco Survey.</p><p>The …
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Investigation of bootstrap estimates of the parameters, their standard errors, and associated confidence intervals of structural equation models with ordered categorical variables
… to structural equation models with ordered categorical variables. The study focuses on the parameter estimates, their standard errors and the coverage rates of the associated bootstrap confidence intervals. Structural equation models are used widely in many disciplines and often the data …
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A cross-sectional study on the quality of life in HIV infected goldminers on highly active antiretroviral therapy in an industrial setting in South Africa
… the MOS SF-36, and to determine which categorical variables impact on QOL in this study cohort. It also intended to promote routine quality of life measurements, as an index of programme performance, and to strengthen the case for widened access to anti-retroviral treatment. A cross …
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Visualising categorical data: Linguistic case studies from te Reo Māori and New Zealand English
Categorical variables are prevalent in real-world datasets across numerous domains, yet few visualisation techniques accommodate them effectively. This is especially true of datasets comprising three or more categorical variables, termed multivariate categorical data. Visualising such data is …
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Optimal resource allocation to maximize model accuracy
… procedure based on the importance of random and categorical variables to address the different sources of uncertainty. Considering individual component models as categorical variables, the procedure follows a multi-model uncertainty propagation approach. The developed procedure is applied to an …
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Topics in Sparsity and Compression: From High dimensional statistics to Overparametrized Neural Networks
… in time-series data, linear regression with categorical variables, and neural network compression. In the first chapter, motivated by problems in computational finance, we consider a framework for jointly learning time-varying covariance matrices under different structural assumptions (e.g., …
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Visual tasks beyond categorization for training convolutional neural networks
… networks (CNNs) can also learn object-related variables. The models are trained for object position, size and pose, respectively, from synthetic images and tested on unseen held-out objects. First, we show that some object properties come "for free" from learning others, and pose-optimized …
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Exploring The Relationship Between Preadmission Factors And Dental School Student Success
… to assess the relationship of the pre admission variables to the continuous variable Dental School GPA. Logistic regression analysis was conducted to assess the relationship of the pre admission variables to the dichotomous categorical variables of Licensure Obtainment and Degree Awarded Status. …
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Effects of Adaptive Learning Technologies on Math Achievement: A Quantitative Study of ALEKS Math Software
… and regression analysis to understand various categorical variables affecting math achievement on ALEKS.
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Factors associated with late antenatal care attendance
… across 4 months gestational age. Independent variables consisted of scales and categorical variables (mostly binary) within the following domains: (a) socio-demographic factors; (b) characteristics of index pregnancy including substance use information; (c) psychosocial factors; (d) community …
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Students’ interpretations of categorical data using dynamic graphical representations
… skill level, ability to interpret bivariate categorical graphs (particularly segmented bar graphs and two-way binned plots), and ability to identify association of two categorical variables were all investigated through interview tasks and responses to inquiry. Students were found to have …
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Antimicrobial resistance among pregnant women with urinary tract infections attending antenatal clinic at Levy Mwanawasa university teaching hospital Lusaka, Zambia
… were used to describe the characteristics of the variables of respondents. Categorical variables were summarized in the form of numbers and percentages and presented in table format. Chi square was used to assess the association between categorical variables. The logistic regression analysis was …
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Antimicrobial resistance among pregnant women with urinary tract infections attending antenatal clinic at Levy Mwanawasa university teaching hospital Lusaka, Zambia
… were used to describe the characteristics of the variables of respondents. Categorical variables were summarized in the form of numbers and percentages and presented in table format. Chi square was used to assess the association between categorical variables. The logistic regression analysis was …
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Causes, management, and outcomes of polyhydramnios, at a level 2 hospital in Cape Town
… and outcomes. We summarised continuous variables using the mean (standard deviation) and categorical variables using count (percentage). We tested the association between categorical variables using the chi-square test. Statistical significance was set at p< 0.05. Results: A total of 136 …
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Knowledge and Perceptions of Vitamin D Among College Women Age 18-22 Years
… mean and standard deviation found for continuous variables, percentage and frequency found for categorical variables, and by the creation of a codebook for focus groups themes. Results determined that college females have a broad knowledge of vitamin D, its sources, and its roles in the body. …
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High School Contextual Variables and ACT Scores
… student demographic and school participation variables with ACT composite scores. Utilizing both a Pearson product moment statistical correlation and t-test for continuous variables and a One-Way Analysis of Variance (ANOVA) for categorical variables, the researcher identifies and presents …
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Analysis Of Fatal And Nonfatal Accidents Involving Earthmoving Equipment Operators And On-Foot Workers
… and scraper were incorporated in the study using categorical variables. Degree of injury indicating the severity of accident outcome (fatal vs. nonfatal) was selected as the dependent variable, and a variety of factors potentially affecting the outcome comprised the independent variables. Cross …
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Prevalence of anxiety disorders among people living with HIV (PLWHIV) and experiencing neuropathic pain who attend clinics in Nkomazi Sub-District
… is summarised using non-parametric statistics. Categorical variables are summarised using percentages and a bar graph. The Chi-squared and the Fisher’s exact tests are used to compare binary categorical variables. The Prevalence Ratio is the relative measure of association used. The p-value is …
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THE ROLE OF THE IL4/13 PATHWAY IN THE GENETICS OF ASTHMA SEVERITY
… developed to evaluate continuous or multi-level categorical variables. In SARP SNPs in GATA3 SNPs were associated with baseline lung function, including rs1244186, which was replicated in The Epidemiology and Natural History of Asthma: Outcomes and Treatment Regimens (TENOR) study. In SARP …
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