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 98 for “"Estimating equations"”.
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Markov Chain Marginal Bootstrap for Generalized Estimating Equations
… over time on each subject. The generalized estimating equations (GEE) approach (Liang and Zeger, 1996) has been widely used for the analysis of longitudinal data. The ordinary GEE approach can be robustified through the use of truncated robust estimating functions. Statistical inference on …
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Model Robust Regression Based on Generalized Estimating Equations
… estimation with a global, parametric generalized estimating equations (GEE) estimate through a mixing parameter on both the mean scale and the linear predictor scale. As a special case, when data are uncorrelated, this amounts to mixing a local likelihood estimate with predictions from a global …
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Efficient Unbiased Estimating Equations for Analyzing Structured Correlation Matrices
… to estimate the correlations and unbiased estimating equation approach has become a popular alternative when there may be a departure from normality. In this thesis we show that the optimal unbiased estimating equation coincides with the likelihood equations for normal data. We then …
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Maximum empirical likelihood estimation in U-statistics based general estimating equations
… estimates (MELE's) in U-statistics based general estimating equations (UGEE's). Our technical maneuver is the jackknife empirical likelihood (JEL) approach. We give the local uniform asymptotic normality condition for the log-JEL for UGEE's. We derive the estimating equations for finding MELE's …
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Modeling and Analysis of Repeated Ordinal Data Using Copula Based Likelihoods and Estimating Equation Methods
… The second part of the dissertation outlines the estimating equations approach for the analysis of longitudinal ordinal data for these non-likelihood models. We study the asymptotic properties of the estimates for both likelihood and non-likelihood methods. Comparisons based on simulations show …
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Marginal Methods for the Design and Analysis of Cluster Randomized Trials and Related Studies
… framework with data analyzed using generalized estimating equations paired with matrix-adjusted estimating equations with a bias-corrected sandwich variance estimator for the correlation parameters. In the first topic, we develop methods for sample size and power calculations in four-level …
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Dynamic models for time-varying outcomes: An application to the 2015-2017 patient cohort on antiretroviral therapy at Luderitz hospital, Namibia
… study used mixed effects model and Generalized Estimating Equations (GEE) to model longitudinally measured viral load as a function of the dynamic as well as non-dynamic covariates. To account for missingness in the outcome variable as well as potential measurement error in covariates, a …
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Generalized Linear Models with Nonignorable Missing Covariates
… the parameters in GLMs. We study a set of ML estimating equations for fitting regression models to binary and Poisson data with missing covariates.Simulations were carried out to observe the behaviour of the MLEs under both correctly specified and misspecified structures. Our simulation study …
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Life cycle approach to bridge design
… design stage. With the help of conceptual equations for the construction, maintenance, and vehicle delay costs, a procedure for making decisions at the preliminary design stage is presented. Decisions are made on the basis of minimum present equivalent total cost and include the number of …
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Shared Haplotype Length Regression and Its Application
… generalized linear models and generalized estimating equations to test for associations between shared haplotype lengths and traits. Due to the possibility of high number of haplotypes in the model, I also proposed an extension of the statistics that incorporates principal component …
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The Timing of Walking and Post-Meal Blood Sugar Levels in Adults with Type 1 Diabetes
… monitoring data were analyzed using generalized estimating equations. In the 2-hours pre- to 4-hours post-dinner, pre-meal walks significantly improved percent time in 3.9-10.0mmol/L (LSM±SE=84.9±1.5%; B=5.58; p=0.01) and decreased percent time in 10.0-13.9mmol/L (LSM±SE=11.1±1.4%; B=-4.70; …
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Cholinesterase Inhibitors and Neuropathology of Cerebrovascular Disease and Other Dementias in Patients with Alzheimer’s Disease: A Study of NACC Autopsy and Medical History Data, 2005 – 2017
… examination at autopsy. Generalized Estimating Equations were used to calculate the association between use of AD or cardiovascular medications and dementia pathology. Approximately 67% of the study population reported using a ChEI. Microinfarcts were negatively associated with …
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Analysis of Longitudinal Data With Missing Responses: A Study of Pain Control Cost
… daily cost data are produced. A generalized estimating equations (GEE) model, is then applied to conduct analysis on each set of data, producing multiple analysis results. The correlation between observations within patients is presented in an AR-1 working correlation structure. The …
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An economic analysis of the agricultural development potential for Southern Honduras
… to determine the variables to be included in the estimating equations.
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Extensions of Markov Chain Marginal Bootstrap
… intervals or regions based on likelihood equations. It is designed to ease the computational burden of bootstrap in high-dimensional problems. It differs from the usual bootstrap methods in two aspects: a set of p one-dimensional equations is solved in place of a p-dimensional system of …
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Sedentary behaviour, work, and health-related outcomes : the application of empirically derived accelerometer cut-points to data from the Health Survey for England
… during waking hours for seven days: generalised estimating equations were used to derive a counts per minute threshold for sedentary behaviour for the ActiGraph GT3X+, based on the activPAL™ sedentary classification. The derived accelerometer cut-points from the first study were used to complete …
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Gender Differences in Depression and Immune Response in Colorectal Cancer
… used to characterize the sample, and general estimating equations were used to analyze depression and immune system function between men and women. Depression was measured by the Beck Depression Inventory, and immune system function was measured by natural killer cell levels. Results indicated …
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Disparities in Admission and Pediatric Emergency Outcomes by Race, Ethnicity, and Language.
… and unexpected return ED visits. Generalized estimating equations (GEE) and Cox proportional hazard models were used to assess the association between REaL and patient outcomes. Results: 35,180 patient encounters were analyzed. White patients had significantly higher adjusted odds of hospital …
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The Effect of Birth Order on Infant Injury
… event.” Data was analyzed using generalized estimating equations (GEE). Birth order was associated with infant injury events and severe infant injury events. Birth order 4th or greater had the greatest effect for both injury outcomes. Additionally, several maternal characteristics were …
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