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 7 of 7 for “"Proportional Odds Model"”.
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An investigation into statistical methods for analysing ordered categorical data.
… categorical data. Some standard descriptive and modelling procedures are described, and the data is analysed using a relatively new statistical package, CHAID, which is designed purely for categorical data analysis. The study is centered around the application of the proportional odds and …
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Sample Size Calculation Based on the Semiparametric Analysis of Short-term and Long-term Hazard Ratios
… sample size formulae for survival data with non-proportional hazard functions under both fixed and contiguous alternatives. Sample size determination has been widely discussed in literature for studies with failure-time endpoints. Many researchers have developed methods with the assumption of …
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The Relationship between In-School Physical Activity and Life Satisfaction, Self-Rated Health, Academic Performance, and Out-of-School Physical Activity: A Canadian Study
… in School-aged Children Survey, a partial proportional odds model form of ordinal logistic regression was fitted in order to investigate the relationship between in-school physical activity and self-rated health, life satisfaction, academic performance, and out-of-school physical activity, …
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Loneliness in the oldest old
… 75 years or older living in Cambridge. Partial proportional odds model and multi-state modelling were used to explore the determinants of loneliness, identify the changing patterns of loneliness as well as examine the risk factors associated with loneliness transitions. Cox regression models and …
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Applying Bayesian Ordinal Regression to ICAP Maladaptive Behavior Subscales
This paper develops a Bayesian ordinal regression model for the maladaptive subscales of the Inventory for Client and Agency Planning (ICAP). Because the maladaptive behavior section of the ICAP contains ordinal data, current analysis strategies combine all the subscales into three indices, making …
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Risk assessment tool for diabetic neuropathy.
… baseline, attention turned to Neural Network modelling. This showed that a carefully tuned Neural Network based Proportional Odds Model (NNPOM) could achieve a classification success >70%, somewhat higher than that obtained with the classical modelling. A version of this model was implemented …
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Identifying Risk Factors Related to Premature Birth Through Binary Logistic and Proportional Odds Ordinal Logistic Regression
… will implement binary logistic regression and proportional odds ordinal logistic regression to predict different levels of premature birth and identify associated risk factors. The models will be built from the Center for Disease Control and Prevention's 2014 Vital Statistics Natality Birth …