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 383 for “"logistic regression models"”.
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Properties Of Logistic Regression Models With Correlated Observations
The correlated logistic regression model, a new model for correlated binary observations in the presence of covariates, is introduced and its relationship with other logistic models established. Comparisons are made with other models for correlated binary outcomes, particularly those that allow …
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Some sequential estimation problems in logistic regression models
… i = 1,2,\cdots,$ be a random sample satisfying a logistic regression model; that is, for each i, log($P(Y\sb{i}$ = $1\vert{\bf X}\sb{i})/P(Y\sb{i}$ = 0$\vert{\bf X}\sb{i})\rbrack$ = ${\bf X}\sbsp{i}{T}\beta\sb0,$ where $Y\sb{i}\in\{$0,1$\},$ ${\bf X}\sb{i}\in{\bf R}\sp{p}$ and $\beta\sb0\in{\bf …
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Optimal experimental designs for two-variable logistic regression models
Binary response data is often modeled using the logistic regression model. Experimental design theory for the logistic model appears to be increasingly important as experimentation becomes more complex and expensive. The optimal design work is extremely valuable in areas such as biomedical and …
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Septic shock : providing early warnings through multivariate logistic regression models
(cont.) The EWS models were then tested in a forward, casual manner on a random cohort of 500 ICU patients to mimic the patients' stay in the unit. The model with the highest performance achieved a sensitivity of 0.85 and a positive predictive value (PPV) of 0.70. Of the 35 episodes of hypotension …
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Fixed versus Mixed Parameterization in Logistic Regression Models: Application to Meta-Analysis
… generalized mixed model (GLMM), and conditional logistic regression (clogit) are compared in a meta-analysis of 43 studies assessing the effect of diet on cancer incidence in rats. We also perform simulation studies to assess distributional behavior of regression estimates and tests of fit. Other …
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Predicting Latino adolescents' dental exam occurrence
… Longitudinal Study of Adolescent Health in logistic regression models to estimate what factors may contribute to the Latino adolescent participants (n = 3,525) lacking a dental exam in the past year and since birth. The logistic regression models included adolescent, parent/adult caregiver, …
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Assessing the Impact of Competitive Behaviors on the Adoption of Genetically Modified Seeds by Illinois Vegetable Growers
… Furthermore, the analysis of adoption, through logistic regression models, using both behavioral and demographic variables, can help elucidate the diffusion process of GM seeds and other related technologies.
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Toothbrushing, Flossing, and Preventive Dental Visits by Richmond-Area Residents in Relation to Demographic and Socioeconomic Factors
… testing was performed using univariate logistic regression models. Multivariate logistic regression models were used to test the significance of independent variables while controlling for other possible predictors of behavior.Results. Females were more likely than males to brush and …
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Bayesian D-Optimal Design for Generalized Linear Models
… designs for multi-variable generalized linear models. Particularly, Poisson regression models and logistic regression models are investigated. Designs are examined for a range of prior distributions and the equivalence theorem is used to verify the design optimality. Design efficiency for …
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Predictors of Improvement for Children Served in Developing Systems of Care
… data from a state database was examined using logistic regression models. The level of development of wraparound services was used as a fidelity measure.
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Evaluation and validation of multiple predictive models applied to post-wildfire debris-flow hazards
… Survey is working to improve empirical logistic regression models for post-wildfire debris-flow probability and expand the regions in which they can be applied. Numerous methods have been used to evaluate predictive logistic regression models and there is no consistent approach existing …
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Evaluation and validation of multiple predictive models applied to post-wildfire debris-flow hazards
… Survey is working to improve empirical logistic regression models for post-wildfire debris-flow probability and expand the regions in which they can be applied. Numerous methods have been used to evaluate predictive logistic regression models and there is no consistent approach existing …
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The relationship between reproductive hormones and asthma-related outcomes in boys residing in the rural Western Cape
… that were analysed further. Multivariate logistic regression models were used to assess the relationship between asthma and measured endocrines levels. Results: The mean age of the boys was 11.2 (Standard deviation -1.7 years). Current wheeze (CW), asthma symptom score ≥ 2 (ASS) and …
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Predicting Eye Movement and Fixation Patterns on Scenic Images Using Machine Learning for Children with Autism Spectrum Disorder
… for 300 scenic images. Based on explanatory Logistic Regression models, it is evident that fixation patterns for both ASD and TD subjects focus near the center of each scenic image. Using gradient boosting the researchers successfully identify 31.7% and 39.5% of all fixation points in the top …
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Bayesian and maximum likelihood methods for some two-segment generalized linear models.
… and ecology. CP problems using two-segment regression models, such as those based on generalized linear models, are very flexible and widely used. For two-segment Poisson and logistic regression models, misclassification in the response is well known to cause attenuation of key parameters …
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Stroke and non-compliance with the therapeutic regimen among hypertensive men and women in Gaza Strip
… regimen, and seasonal pattern. Single logistic regression models (crude odds ratio), and multiple conditional logistic regression models were used to determine potential risk factors, which contribute to the development of stroke (medication not taking as prescribed, using excessive …
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Uso de regressão logística para identificar os fatores de risco associados à ocorrência de anomalias congênitas em recém-nascidos
The logistic regression models have been extensively applied in several areas of knowledge, particularly in the area of health. The condition of studying binary response variables in terms of a set of explanatory factors have become increasingly common in epidemiological studies. Thus, this study …
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Industry Based Fundamental Analysis: Using Neural Networks and a Dual-Layered Genetic Algorithm Approach
… methodologies to map market returns better than logistic regression. The learning methodologies used are neural networks and dual-layered genetic algorithms. These methodologies are used to develop a trading strategy to generate excess returns. The excess returns are compared to test the trading …
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Predicting Obstructive Coronary Artery Disease in Patients Undergoing Coronary Angiography for Stable Angina
… Australia (CADOSA), we constructed multivariable logistic regression models using patient demographics (age, sex), clinical history (chest pain duration, quality, location, associated symptoms, precipitants, relievers), and co-morbidities (hypertension, dyslipidemia, diabetes, smoking, family …
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