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 42 for “"random effects models"”.
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Inference for general random effects models
… work describes methods associated with general random effects models. Part one describes a technique for investigating mean-variance relationships in random effects models. Part two derives and approximation to the likelihood function using a Laplace expansion to the fourth order.
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A Bayesian solution to non-convergence of crossed random effects models
… combinations of subjects and stimuli, crossed random effects models simultaneously take into account both fixed effects and random effects of the subjects and stimuli; however, maximum likelihood estimation (MLE) and restricted maximum likelihood (REML) estimation often encounter convergence …
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Proficiency-based progression (PBP) training- the future model for dental operative skills training? A systematic review and meta-analysis of existing literature
… difference and ratio-of-means (ROM). Summary effects were evaluated using a series of fixed and random effects models. The primary outcome was the number of procedural errors performed comparing PBP and non-PBP-based training pathways. In quantitative synthesis testing for procedural errors, a …
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Does Natural Resource Wealth Spoil and Corrupt Governments? A New Test of the Resource Curse Thesis
… that informs the specification of interactive random effects models. A cross-national panel data set is used to estimate these models. Due to multicollinearity, only an effect of metals and ores exports on corruption can be discerned. Marginal effects computations show that whether nature …
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A Normal-Mixture Model with Random-Effects for RR-Interval Data
In many applications of random-effects models to longitudinal data, such as heart rate variability (HRV) data, a normal-mixture distribution seems to be more appropriate than the normal distribution assumption. While the random-effects methodology is well developed for several distributions in the …
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A Bayesian approach to crossed-random-effects mediation analysis for zero-inflated mediators and binary outcomes
In crossed random effects designs, observations are nested in the combination of two random factors, e.g., subjects and stimuli. Such designs are popular in experimental research in social sciences. Crossed random effects models (CREM) can accommodate the random effects of both subjects and …
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Effect of increased reliance on specific excise on the consumption of cigarettes
… on specific tax between 2008 and 2016. The fixed effects and random effects models are employed to estimate the extent to which a change in the specific share of excise tax changes the per capita consumption of cigarettes. According to the results, a one percent increase in the share of specific …
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Corporate Social Responsibility Reporting and Financial Performance
… sector. After controlling for endogeneity using random effects models, the relationship between CSR reporting and ROA and PM was statistically significant at p=0.056 and p=0.109 for ROA and PM respectively, suggesting CSR reporting firms are associated with improved financial performance. …
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Power approximation for the test of study-level categorical moderators in meta-regression with dependent effect sizes
… moderators have been established for fixed- and random-effects models for independent effects, there is currently no methodology for conducting power analysis for moderator tests in meta-regression models that account for dependence. Building on a previous study that evaluated power …
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An investigation into the effect of non-performing loans on the profitability of commercial banks in Namibia
… statements was used to estimate panel regression models, fixed and random effects models. The results indicate that bank size and loan to assets ratio explains about 14% and 10% of the variation in a bank’s profitability as measured by return on assets. The null hypothesis of no significant …
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Count regression models with a misclassified binary covariate : a Bayesian approach.
… for the associated regression parameters. The models presented in this dissertation are designed to correct this bias and yield variance estimates reflecting the uncertainty that is introduced by flawed measurements. We consider a generalized linear model for a Poisson response. This model …
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Government expenditure and health, education and housing outcomes: empirical analysis from South Africa
… between 2004 and 2019, employing fixed and random effects models to examine the influence of government expenditure on sector-specific outcomes. The findings indicate that health expenditure has a positive, statistically insignificant impact on health outcomes, such as infant mortality, TB …
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The Association between the Measles, Mumps, and Rubella Vaccine and the Development of Autism: A Meta-Analysis
… risk as the effect measure. Both the fixed effects and random effects models were applied. A total of 29 studies were identified for possible inclusion in the meta-analysis. After applying the inclusion/exclusion criteria seven studies were included in the meta-analysis. The pooled treatment …
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Integrated traffic analysis and visualization for future road events
… a system that utilizes hierarchical LMMs and GBM models are proposed which adaptively analyzes and predicts the traffic pattern based on hypothetical inputs. We developed a user-friendly interface to show the outcomes of the hybrid model. The proposed system encompasses three major components: (1) …
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The impact of remittances on financial sector development: An exploration in the SADC region
… the panel data analysis techniques of fixed and random effects models, a Generalised Methods of Moments (GMM) dynamic framework (Arellano & Bover, 1995) and Instrumental Variables (IV) Estimations (Baum, Schaffer & Stillman, 2003). Three indicators of financial sector development are analysed, …
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Dynamic Prediction of Disease Progression With Longitudinal Data
… and stability over conventional shared random effects models, validated through simulations and a real dataset comparison. Chapter 4 introduces the multi-layer backward joint model (MBJM) for dynamic prediction in clinical research, designed to efficiently handle multivariate …
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Exploring circadian blood pressure patterns
… the data together in one model, different random-effects models were explored which allowed us to obtain estimates of both within and between-individual variation of model parameters. A piece-wise linear mixed-effects model was considered as a simple but suitable approach to capture BP …
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Model-based Tests for Standards Evaluation and Biological Assessments
… of variance methods are described for fixed effects and random effects models. The proposed model-based tests compare limits (tolerance limits or prediction limits) for the data with the known standard. When the sample size for the test site is small, using model-based tests improves the …
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Histopathological Changes in Dental Pulp Associated with Periodontitis: A Systematic Review and Meta Analysis
… studies. Meta-analysis was performed using random-effects models to estimate pooled prevalence and odds ratio, with heterogeneity assessed by I² and τ² statistics. Results: Teeth with periodontitis were significantly more likely to exhibit histopathological changes compared to controls. The …
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The effect of disability on labour market outcomes
… Data was analysed as a panel to account for the effects over time. A pooled OLS, a random effects and a fixed effects model were applied on the panel dataset to explain the effects of disability, disability type and disability grants on labour market outcomes. To determine which of these models …
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