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.
Results
Showing 1 to 20 of 369 for “"mixed effects"”.
-
Linear mixed effects models in functional data analysis
… coefficient vector is also known as random effects and thus the regression models are in a mixed effects framework. The random effects provide a model for the within individual covariance of the observations. But it also introduces an additional parameter into the model, the covariance …
-
Power analysis for a mixed effects logistic regression model
In herd health studies, the mixed effects logistic regression model with random herd effects are commonly used for modeling clustered binary data. These models are well developed and widely used in the literature, among which is the logistic-normal regression model. In contrast to the rich …
-
Analysis of gender wage gap using mixed effects models
… each job title using a novel approach: linear mixed effects regression. The linear mixed effects model captures both systematic trends and unexplained variability simultaneously to provide a more comprehensive understanding of the gender wage gap. Here are the key findings: 1. The unexplained …
-
Population pharmacokinetics: model-free approach and nonlinear mixed-effects modelling
… range of variability in the data. The non-linear mixed effect modelling is used to confirm the results of the model-free investigation. Model-free approach is successfully applied to several drugs. Non-linear Mixed Effects population models developed for the same data agree with its results. …
-
The Mixed Effects of Procedural Justice in Novel Organizational Policy Decisions
… Moreover, it considers the interactive effects that employee expectations and procedural justice have on the relationship between the organizational decision and employee uncertainty. Cross-sectional study data were obtained from a sample of 273 U.S.-based employees in April and May of …
-
Mixed Effects Modeling and Correlation Structure Selection for High Dimensional Correlated Data
… important but challenging issues in this thesis: mixed-effect modeling with unspecified random effects and correlation structure selection for high-dimensional data. In longitudinal studies, mixed-effects models are important for addressing subject-specific effects. However, most existing …
-
Population/ Nonlinear mixed-effects modelling of pharmacokinetics and pharmacodynamics of tuberculosis treatment
… in RAFA study) were described using nonlinear mixed-effects modelling. Concentration-time data for rifampicin (TB-HAART study) was used to develop a semimechanistic pharmacokinetic model incorporating autoinduction and saturable pharmacokinetics. A model describing the pharmacokinetics of …
-
Modelling growth patterns of bird species using non-linear mixed effects models
… 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, logistic, and Richards …
-
Nonlinear mixed effects modeling of gametocyte carriage in patients with uncomplicated malaria
Includes bibliographical references (leaves 96-102)
-
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 …
-
On the Use of Mixed -Effects Models for the Analysis of Probability Judgments
… judgment model which is expressed as a mixed-effects ordinal probit regression model. This model can be used to derive several new model-based measures of external correspondence as well as establishing a means of deriving the sampling/posterior distributions of such measures. Issues of …
-
Nonlinear mixed-effects modelling of drug-drug interactions between antiretroviral therapy and tuberculosis treatment
… In this thesis, we utilized non-linear mixed effects modelling and data from studies in PWH and healthy volunteers to characterize DDIs between first- and second-line antiretroviral (ARV) and anti-TB drugs. Additionally, we performed simulations to assess treatment target attainment …
-
Predicting Changes in Individual Wellbeing Scores: Mixed Effects Models using Sleep Data from Wearables
… nature of wellbeing assessments, we employ mixed effects modeling techniques where each individual is treated as their own cluster, including Linear Mixed Effects models (LMM) and Mixed Effects Random Forest (MERF), where the latter is benchmarked against classic machine learning models. The …
-
Capturing Latent Abilities and Latent Capacities of Professional Golfers Using Nonlinear Mixed Effects Growth Modeling
… of professional golfers. I used nonlinear mixed effects growth modeling (e.g., Dynamic Measurement Modeling) to measure professional golfers’ ability levels and capacities for improvement. I accomplished this using a two-stage modeling approach. First, a crossed linear mixed effects model …
-
Characterizing population pharmacokinetic/pharmacodynamic relationships in pulmonary tuberculosis infected adults using nonlinear mixed effects modelling
… at first dose and steady-state using nonlinear mixed-effects modelling, and individual exposures were summarised as area under the concentration-time curve (AUC0-24) and peak concentration. Autoinduction of rifampicin metabolism was characterized with a semi-mechanistic enzyme turn-over model. …
-
Integrating nonlinear mixed effects and physiologically–based modeling approaches for the analysis of repeated measurement studies
… repeated measurement data is the nonlinear mixed effect (NLME) approach. At the same time, ample knowledge about the drug's properties already exists and has been accumulating during the discovery & development process: Before any drug is tested in humans, detailed knowledge about the PK in …
-
Experimental investigations of natural circulation in a separate-and-mixed effects test facility mimicking prismatic modular reactor (PMR) core
… reference PMRs. To address this need, a separate effects Plenum-to-Plenum Facility (P2PF) was designed and developed with dual channels and plena for experimental investigations of naturally driven gas thermal and velocity fields under different circulation intensities. Thermal and velocity …
-
Nonparametric testing for random effects in mixed effects models based on the piecewise linear interpolate of the log characteristic function
Traditional linear mixed effect models assume the distributions of the random effects and errors follow normal distribution with mean zero and homoscedastic variance sigma square. This thesis presents a new nonparametric testing approach for normality for the random effects distribution based on …
-
Choosing Between the Fixed-, Random-, and Mixed-Effects Model in Meta-Analysis: An Analysis of Existing and New Model Selection Methods
… of effect size estimates, namely the fixed-effects, the fixed-effects with moderators, the random-effects, and the mixed-effects model. First, the four meta-analytic models are shown to be special cases of the general linear mixed-effects model (GLMM), allowing the application of the general …
Page 1 of 19