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 30 for “"Poisson regression models"”.
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Poisson regression models for interval censored count data.
In this dissertation, we develop Bayesian models for interval censored Poisson counts in the presence of zero inflation and missing data. As a motivating example, we consider data arising from a Human Immunodeficiency Virus (HIV) vaccine trial featuring imprecise counts, missing data, and an …
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Dental Utilization for Medicaid-‐Enrolled Children with Cystic Fibrosis
… Medicaid for at least 11 months (N = 156,268). Poisson regression models were used to compare utilization rates for any dental care and also for specific categories of dental care (diagnostic, preventive, routine restorative, and complex restorative). Results: The study included 85 children with …
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Exploring the Relationship Between Sunscreen Use and Screen Time in American High School Students
… excess screen time were estimated using modified Poisson regression models, controlling for sex, age, and race/ethnicity. Effect modification by sex was assessed, considering potential differences in non-school screen time behaviors between boys and girls. Results: In both adjusted and unadjusted …
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Bayesian D-Optimal Design for Generalized Linear Models
… designs for multi-variable generalized linear models. Particularly, Poisson regression models and logistic regression models are investigated. Designs are examined for a range of prior distributions and the equivalence theorem is used to verify the design optimality. Design efficiency for …
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Representation of Minoritized People with Cystic Fibrosis in CF Therapeutics Development Network Clinical Studies
… PwCF as a reference. We used propensity weighted Poisson regression models to account for potential confounders in the relationship between race and study participation. This study analyzed the enrollment characteristics of 3,594 persons in modulator studies and compared them with 14,888 eligible …
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The impact of short message service reminders on returning to test for HIV at a community center in Seattle, WA
… at three or six months after first test. Poisson regression models were constructed to identify correlates of returning for a second HIV test and to assess the impact of SMS reminders on returning to test. Results: During the period of study, 5,458 clients tested non-anonymously at Gay …
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Extended Poisson Models for Count Data With Inflated Frequencies
… papers in the literature that show how to fit Poisson regression models that account for the zero inflation. However, in many situations the frequencies of zero and of some other value <em>k</em> tends to be higher than the Poisson model can fit appropriately. Recently, Sheth-Chandra (2011), …
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Using a Social Ecological Framework to Understand Healthy Relationships and Unintended Pregnancy Risk Among Youth in Rural Communities and Youth Engaged in Systems
… past three months. Multivariate ordinal logistic regression revealed that older age, female gender, and higher PYD skills were associated with the use of more effective contraceptives. The final study identified risk and protective factors for perpetration and victimization of dating violence …
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Network meta-analysis with rare events and misclassified response.
… In this dissertation, we extend previous work on Poisson regression models that allow for misclassification by thoroughly discussing the basis for the models and allowing for extra-Poisson variability in the form of random effects. Markov chain Monte Carlo methods are applied to perform the …
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Modeling Driving Risk Using Naturalistic Driving Study Data
… a novel Bayesian random exposure method for Poisson regression models to account for situations where the exposure information needs to be estimated. Simulation studies and real data analysis on Cellphone Pilot Analysis study data showed that, random exposure models have significantly better …
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Public Reporting Of Healthcare-Associated Infections: The Impact Of Public Policy On Healthcare Organizations And Patient Outcomes
… (C. difficile) infections in U.S. hospitals. Poisson regression models yielded no statistically significant differences in incidence rate ratios for C. difficile at varying time intervals before and after implementation of reporting mandates. Sensitivity analysis showed similar findings, with …
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Clinical correlations to distinguish from milder forms of obstructive sleep apnoea syndrome using overnight oximetry to prioritize adenotonsillectomy in a low resource setting
… 1- 4) were recorded. Multivariate modified-Poisson regression models were used to examine correlations of patient characteristics „with grade 3 or 4 MOS. Results: One-hundred-and-three children were analysed, 38% were female, and median (IQR) age was 3.8 (2.5-5.3) years. Increased tonsil …
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Caregiving, health-related quality of life and healthcare-seeking behaviour: A study of informal caregivers of older adults in Ghana
… such as generalized multivariable linear regression models, and Poisson regression models estimated the hypothesized associations. Beta values (β), standard errors (SE), confidence intervals (CI), and incidence rate ratio (IRR) were reported (p-value ≤ 0.05 as statistically significant). …
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Advanced methods for prediction of animal-related outages in overhead distribution systems
… along with historical outage data for prediction models. Poisson regression model, neural network model, wavelet based neural network model and Bayesian model combined with Monte Carlo simulations are applied to the weekly data of different cites. Even though Poisson regression models, Bayesian …
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Substance Abuse, Marginalization, and Homelessness: Bayesian Perspectives on a Persisting Problem
… was adopted to develop Markov transition models of housing state changes and zero inflated Poisson regression models of routine and emergency service counts over two time intervals. Key findings include consistent relationships between living on the streets, alcohol use, and increased …
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Spatial analysis of ischemic heart disease in Manitoba
… The second objective was assessed using spatial Poisson regression models that modelled the spatial covariance with conditional autoregressive structures. The third objective was assessed by extending the spatial model to the temporal dimension by modeling the temporal covariance with random-walk …
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Exploring risk-taking and health in immigrant adolescents to Canada: A unique focus on the “healthy immigrant effect”
… use. Weighted prevalence estimates and modified Poisson regression models were used to estimate adjusted prevalence ratios while accounting for the complex survey design. Models were adjusted for age, family structure, and family support, while gender and ethnicity were examined as potential …
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Relationship between prehospital time and 24-hour mortality following injury in patients with major trauma in New Zealand
… mortality were explored using modified Poisson regression. Models were built for total prehospital time and EMS time intervals, and were adjusted by patient sociodemographic, triage and injury characteristics. Results: A total of 3,334 patients met the eligibility criteria, of which 105 …
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Impact of Unintended pregnancy on HIV viral load outcomes among postpartum women living with HIV in Cape Town, South Africa: clues from postpartum adherence clubs for antiretroviral therapy trial
… copies/ml. Chi-squared tests and logistic regression were used to examine predictors of unintended pregnancy. The impact of unintended pregnancy on elevated VL was examined using Poisson regression models. Results: Among 411 women included in the analysis (mean age: 28.7 years, 42% …
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Optimal Experimental Designs for the Poisson Regression Model in Toxicity Studies
… experimental designs for generalized linear models have received increasing attention in recent years. Yet, most of the current research focuses on binary data models especially the one-variable first-order logistic regression model. This research extends this topic to count data models. The …
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