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 100 for “"cox regression"”.
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Confidence bands for survival curves using model assisted cox regression
… random censorship models (SRCMs) to Cox regression, which produces reliable and more informative SCBs. SRCMs derive their rationale from their ability to utilize parametric ideas within the random censorship environment. Incorporating SRCMs into the existing framework produces more …
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Risk prediction models for hip fracture: parametric versus Cox regression
… model for incident hip fracture using Weibull regression and compare this with Cox regression model. Method: The Study of Osteoporosis prospectively collected risk factors were used to build a risk prediction model for first hip fracture using Threshold regression with Wiener process. Similar …
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Sind Parameter der Glykämiekontrolle mit zukünftigen Mikroangiopathien, Mortalität und kardiovaskulären Ereignissen assoziiert?
… Die Ergebnisse zeigen in einer univariaten Cox-Regression in der Gesamtkohorte eine Signifikanz (p < 0.001) der glukosebezogenen Parameter interstitielle Glukosefluktuation, HbA1c und Diabetesdauer auf die Ausprägung von kardiovaskulären Endpunkten. In einer multivariaten Cox-Regression mit …
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Effects of diabetes mellitus on virologic and immunologic outcomes of patients on first line antiretroviral therapy in a military population in South Africa
… a 12-month period was examined using Poisson and Cox regression models. xvi Results: Amongst 1380 patients, 47 indicated HIV and DM while 1333 indicated HIV but were Non-DM. The study sample was predominantly male, with the majority from a rural area with varying educational levels, ranging from …
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Blood Pressure Variability and Ambulatory Arterial Stiffness Index in Predicting Major Adverse Cardiovascular Events
… data. Univariate and multivariate logistic regression with odds ratios (OR) and 95% confidence intervals (CI) were used to assess the relationship between BPV, AASI and MACE. Multivariate Cox regression analysis with hazard ratio (HR) and (95% CI) and Kaplan-Meier analyses were conducted for …
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Adoption of Electronic Health Records by Admitting Physicians: A Heuristic Model
… over 80% of the total admissions. Logistic Regression and Cox Regression were used to evaluate how well variables predicted adoption (80% utilization) and adoption rate.</p> <p><em>Results:</em> The Logistic Regression model predicted significant proportions of variation in adoption of CPOE …
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Sleep Disorders and Kidney Transplant Outcomes: Findings From an 18-Year (1997-2015) Historical Cohort Study
… of any sleep disorder to survival time. Cox regression models, examined the adjusted relationship of any sleep disorder to the outcomes, graft survival time and patient survival time after graft failure. Sub-analyses also examined associations between sleep-disordered breathing disorders …
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Sparse selection in Cox models with functional predictors
This thesis investigates sparse selection in the Cox regression models with functional predictors. Interest in sparse selection with functional predictors (Lindquist and McKeague, 2009; McKeague and Sen, 2010) can arise in biomedical studies. A functional predictor is a predictor with a trajectory …
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Έκφραση των κλωντινών-1,4,5,7 και αποφραξίνης σε ασθενείς με ηπατοκυτταρικό καρκίνωμα και συσχέτιση αυτών με κλινικοπαθολογοανατομικούς παράγοντες και με την επιβίωση των ασθενών
… ολική επιβίωση σε μήνες, στην μονοπαραγοντική cox regression ανάλυση (p=0.049) και στην Kaplan Meier ανάλυση(p=0.04). Η πολυπαραγοντική cox regression ανάλυση έδειξε ότι τα επίπεδα της κλωντίνης-4 αποτελούν ανεξάρτητο παράγοντα που σχετίζεται με την ολική επιβίωση (p=0.01). Eπίσης, τα …
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Predictors of Developmental Screenings for Young Children
… data.</p> <p>Multivariate analysis by Cox regression is used to determine whether predictor variables from any of the four conceptual areas of the framework explain young children's receipt of formal or informal screenings. Cox regression is also used to examine the magnitude of …
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Modelling hepatotoxicity in HIV/TB co-infected patients: extensions of the Cox Proportional Hazards Model
… The statistical objectives are to fit a Cox regression model, the resolution model of hepatotoxicity, and the extended Cox models for recurring events, including the Andersen Gill (AG) model, the Shared frailty model, the Prentice, Williams and Peterson (PWP) total time (TT) model, the …
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The Impact of Increased Number of Acute Care Beds to Reduce Emergency Room Wait Time
… ED wait times. We derived a multivariable Cox regression model to examine this association. We found no significant association between ED boarding times and the time to discharge. Using a Markov model, we estimated an increased annual operating cost of $2.1m to meet the prescribed wait …
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Detection of Novel Genomic Markers for Predicting Prognosis in Hepatocellular Carcinoma Patients by Integrative Analysis of Copy Number Aberrations and Gene Expression Profiles: Results from a Long-Term Follow-Up
… were retrieved by integrative analysis. Results Cox regression analysis indicated that the CNAs in 192 genomic regions were significantly associated with OS (P<0.05). Integrative analysis capturing concordant results demonstrated that the low expression of TLE4 (P=0.041) and XPA (P=0.006) were …
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Treatment outcomes of Her-2 positive Breast Cancer in the absence of Her-2 targeting agents at Groote Schuur Hospital, Cape Town, South Africa. Are we doing enough?
… analysis. A multivariate analysis using the Cox regression model and log rank testing was used to determine any association between OS or RFS and age, hormone receptors, or clinical stage. A p-value of <0.05 was used to determine statistical significance. Results: The cumulative OS and RFS at …
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Investigation of Gender and Race Effects on Promotion in Departments of Geography in the United States
… these matched cohorts was years until promotion. Cox regression was used as it is designed to analyze survival data and can incorporate multiple variables. Even corrected for publications and other variables, the gender and white race coefficients were significant and demonstrated that the rate of …
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Government Funding and Failure in Nonprofit Organizations
… chose to use survival analysis and employed the Cox regression technique. Here, I analyzed the NCCS-Guidestar National Nonprofit Research Database, which archives nonprofit IRS filings from 1998 to 2003. This data set is noteworthy for its level of detail and its comprehensive nature. I found …
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Pretreatment Serum CYFRA 21-1 Level Correlates Significantly with Survival of Cervical Cancer Patients: A Multivariate Analysis of 506 Cases
… in these patients. A multivariate analysis using Cox’s proportional hazard model was performed to evaluate the prognostic significance of pretreatment variables. In patients who underwent radical hysterectomy, there was a significant correlation between pretreatment serum SCC-Ag/CYFRA 21-1 levels …
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Court -ordered cognitive -behavioural group treatment with adolescent offenders: Outcomes of an anger management program
… GLM multivariate analyses, logistic regressions, and Cox Regression Survival analyses permitted the exploration of the role of juvenile characteristics in intervention outcome and the examination of treatment effects on recidivism. Juvenile offender gender, ethnicity, socioeconomic …
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Differential Sensitivity of Intraindividual Variability Dispersion and Global Cognition in the Prediction of Functional Outcomes and Premature Mortality in Precariously Housed and Homeless Adults
… and hospital records (N = 103 deaths). Linear regressions were used to predict current and long-term social and physical functioning from IIV dispersion. Cox regression models were used to examine the relation between IIV dispersion and mortality. Covariates included global cognition, age, and …
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The Relation of Weight Loss and Improved Fitness to Survival in Healthy Males
… in weight loss studies.</p> <p>This study used Cox Regression analysis to address the separate and combined association of weight loss and improved fitness to all-cause mortality. A two-visit, apparently healthy, initially low fit, overweight male subset (n = 1,616), age 20 to 65 years, from the …
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