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 52 for “"Linear mixed effects models"”.
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Linear mixed effects models in functional data analysis
Regression models with a scalar response and a functional predictor have been extensively studied. One approach is to approximate the functional predictor using basis function or eigenfunction expansions. In the expansion, the coefficient vector can either be fixed or random. The random coefficient …
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Modelling growth patterns of bird species using non-linear mixed effects models
… such as polynomial regressions, non-parametric models and non-linear mixed effects models have been used to fit models to growth data. In recent years, non-linear mixed effects models have become an important tool for growth models. We have fitted univariate inverse exponential, Gompertz, …
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Application of Regression Spline in Multilevel Longitudinal Modeling
A general description of linear mixed-effects models, linear mixed-effects models for longitudinal data, and regression splines are first reviewed. Subsequently, a methodology that applies regression spline in multilevel longitudinal modeling is proposed to deal with the longitudinal data with …
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Modified BIC for Model Selection in Linear Mixed Models
Linear mixed effects models are widely used in applications to analyze clustered and longitudinal data. Model selection in linear mixed models is more challenging than that of linear models as the parameter vector in a linear mixed model includes both fixed effects and variance components …
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Outcome selection in longitudinal analysis of immunological data
… longitudinal modelling frameworks. Generalised linear mixed-effects models are better suited to the characteristics of immunological data and research than linear mixed-effects models. Two dimension reduction techniques are compared: principal component analysis (PCA) and hierarchical cluster …
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Fiducial Inference for Mixed-Effects Models: A Frequentist Advancement for Small-Sample Problems
… a comprehensive fiducial inference framework for mixed-effects models, offering a robust frequentist alternative for statistical inference in small-sample settings. Traditional methods such as maximum likelihood estimation (MLE), Wald-type intervals, and bootstrap techniques often fail to provide …
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Impact of Walking School Bus Programs on Self-Efficacy and Outcome Expectations
… over time and accounted for clustering using linear mixed effects models. Results. The intervention group had increases in child SE of 0.12 points (p=0.03), parent SE of 0.11 points (p=0.048), and parent OE of 0.09 points (p=0.019) compared to controls over time. Conclusion. As hypothesized, …
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Movement of the Cape dwarf chameleon (Bradypodion pumilum): are they vulnerable to habitat fragmentation?
… 2010 and April 2014. Data were analysed using linear mixed effects models including relevant predictor variables. The chameleon habitat use, such as perch height, thickness and vegetation cover, including their GPS positions, was recorded hourly during the day. The increase in area used by …
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Longitudinal analysis of three-dimensional facial shape data
… removal of location, rotation and scale effects. Much work has been done in the analysis of two-dimensional shapes depicted by anatomical landmarks placed at points of importance. Less has been carried out in the area of three-dimensional shapes, particularly in terms of growth or change …
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Plant productivity and diversity in coastal wetlands in Mississippi – impact of hydrological extremes
… biomass samples in 2020 and 2021, developed linear mixed-effects models to predict how the plant productivity and diversity changed with elevation and soil porewater salinity, and linked vegetation productivity to spectral information of Landsat and Sentinel satellite images. I applied the …
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The Ick Factor: Explaining the Term Through Lenses of Sexual Disgust and Avoidant Attachment Style
… sensitivity and attachment style. Results from linear mixed effects models indicated that the presence of an ick did not significantly predict ratings of attractiveness, short-term dating interest, or long-term dating interest. However, there was a significant interaction between ick presence …
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Robust mixtures of regression models
… two projects that are related to robust mixture models. In the robust project, we propose a new robust mixture of regression models (Bai et al., 2012). The existing methods for tting mixture regression models assume a normal distribution for error and then estimate the regression param- eters by …
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Meteorological and geomorphological influence on harbor seal haul-out distribution behavior using drone imagery
… Using drone surveys, high-resolution elevation models and slope maps were produced for major haul-out sites. Drone surveys from 2021 to 2023 provided seal counts during key life history stages—pupping and molting—with seal identified manually or using machine learning tools. Subsites within each …
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A flexible and versatile framework for statistical design and analysis of quantitative mass spectrometry-based proteomic experiments
… of the results.</p> <p>We propose a family of linear mixed effects models, and a split-plot view of the experimental design, that represent measurements from quantitative mass spectrometry-based proteomics. The whole plot part of the design reflects the structure of the biological variation of …
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Predicting Changes in Individual Wellbeing Scores: Mixed Effects Models using Sleep Data from Wearables
… health, calmness); and second, evaluate both linear and nonlinear associations between different sleep metrics and wellbeing. To address high user variability found by the personalized nature of sleep and the subjective nature of wellbeing assessments, we employ mixed effects modeling …
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Geographic variation in the phenotypes of two sibling horseshoe bats Rhinolophus simulator and R.swinnyi
… To reconstruct the selective forces, linear mixed-effects models were used to regress climatic variables against echolocation call signals (Chapter 4) based on two hypotheses, the Sensory Drive and the James' Rule as a guide. The Lande's model (Chapter 2 and 3) showed that drift had a …
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Utilizing spring dead spot mapping to assess precision management strategies, topographical epidemiology, economic opportunities
… and landform type were quantified. Generalized linear mixed-effects models revealed increased odds of SDS occurrence on north-facing slopes and landforms such as peaks and shoulders (p ≤ 0.001), while pits, valleys, and south-facing slopes were associated with decreased odds (p < 0.001). …
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Evaluation of Military Hearing Protection Devices in a Simulated Aircraft Carrier Soundscape
… to protect their hearing also convey deleterious effects on localization and situation awareness. Oftentimes, service members choose to improperly fit hearing protection, or forgo it entirely, to maintain situation awareness and better protect themselves against life-threatening hazards in the …
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Validity Evidence for Construct-Aligned Entrustment Assessments in Vascular Surgery
… conducted on matched encounter assessments. A linear mixed-effects model was conducted to examine factors associated with the alignment. Intraclass correlation was calculated between trainee and faculty assessments. A random effects model was applied to all assessments to demonstrate sources of …
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