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 1081 for “"COX"”.
-
Concomitant Suppression Of Both Cox-1 And Cox-2 Is Not Sufficient To Cause Gastroenteropathy Associated With Chronic Nsaid Use
… simultaneously inhibiting both cyclooxygenases (COX) -1 and -2 to suppress prostaglandin synthesis. Operating under this assumption, I had developed a novel mouse model of inducible COX-1 + COX-2 deletion to complement our lab’s chronic NSAID exposure model. These COX double-knockout mice …
-
Produção de hidrogênio sem emissão de gases COx
… fósseis, principais fontes emissoras de gases COx (óxidos de carbono). O gás hidrogênio tem o potencial de atuar como fonte limpa de energia através da célula a combustível, além de ser uma matéria prima essencial para setores da indústria. Atualmente, a maior parcela do hidrogênio produzida no …
-
Cox-type model validation with recurrent event data
… parameter and the baseline hazard function in a Cox-type model for recurrent events that accounts for the effective age and time varying covariates. Estimators of the regression parameters as well as baseline hazard function are obtained using the counting processes and martingales machinery …
-
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 …
-
Extending Sample Size Calculation for the Cox Proportional Hazards Model
… used sample size formula derived under the Cox proportional hazards (PH) model may not be proper to design a survival trial with a cure fraction, since the PH model assumption may be violated. To account for a cure fraction, the PH cure model is widely used in practice, where a PH model is …
-
Modifications and extensions of the logistic regression and Cox model
… logistic models for binary outcomes and the Cox model for time-to-event data. In epidemiological, medical, biological, societal and economic studies, the logistic regression is widely used to describe the relationship between a response variable as binary outcome and explanatory variables as …
-
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 …
-
Risk prediction models for hip fracture: parametric versus Cox regression
… 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 predictors were fitted using Cox …
-
Reframing Cox Proportional Hazards Model for Big Data and Neural Networks
… and fit a proportional hazards regression (or Cox regression). A log-concave objective function known as the “partial likelihood” is maximized to fit the Cox proportional hazards model. For moderate-sized datasets, an efficient Newton-Raphson algorithm that leverages the structure of the …
-
Fast methods for fitting log-Gaussian Cox process models in ecology.
Log-Gaussian Cox processes (LGCPs) offer a framework for regression-style modelling of point patterns that can accommodate latent effects. These latent effects can be used to account for missing predictors or other sources of clustering that could not be explained by a Poisson process. Such models …
-
A Cox proportional hazards-cash flow model for bank failure prediction
This research uses the Cox proportional hazard model and bank cash flow information to determine whether adding cash flow information will improve current bank failure prediction methods. In two published papers it has been shown that the Cox model performs as well as other models with respect to …
-
Augmenting Anti-Tumor Immunity by Targeting Macrophage Cox-2 in Breast Cancer
Cyclooxygenase-2 (COX-2) expression is associated with poor prognosis across a range of human cancers, including breast. While the contributions of tumor cell-derived COX-2 are well studied, those of the stroma remain ill-defined. Macrophages, an essential component of the tumor microenvironment, …
-
Expression and Function of a Putative Cox-Like Gene in D. melanogaster
<p>Cyclooxygenases (COX) are the enzymes that catalyze the conversion of arachidonic acid into prostaglandins. In mammals, isoform COX-1 is constitutively expressed, whereas the isoform COX-2 gene expression is induced, primarily at sites of inflammation. While eicosanoids play a major role in …
-
RNA Interference and cyclooxygenase-2 (COX-2) regulation in colon cancer cells
… between RNAi and the enzyme cyclooxygenase-2 (COX-2) in the field of colorectal cancer (CRC), since it has been established that the transition adenoma-adenocarcinoma and the progression of CRC depend on aberrant constitutive expression of COX-2 gene. In fact, overexpressed COX-2 is involved in …
-
Beyond Parameter Estimation: Analysis of the Case-Cohort Design in Cox Models
… of covariate functional form in the standard Cox model can be assessed graphically by smoothed martingale residuals against various other values, such as time and covariates of interest (Therneau et al, 1990). The over-representation of cases in the case-cohort data, as compared to the full …
-
Statistical model selection techniques for the cox proportional hazards model: a comparative study
… response variable. In this dissertation, common Cox proportional hazards model selection techniques and a random survival forest technique were compared using five performance criteria measures. These performance measures were concordance index, integrated area under the curve, and , and R2 . To …
-
Investigations into the mechanism behind COX-inhibiting drug regulation of human skeletal muscle mass
Access to abstract permanently restricted to Ball State community only.
-
Unified Approach to Partially Linear Model and Cox Proportional Hazards Model with Missing Covariates
… partially linear model (Engle et al., 1986) and Cox proportional hazards model (Cox, 1972) with missing covariates. The unified approach possesses some superior characteristics in dealing with regression models with missing data. First, the unified approach requires less extra assumptions to be …
-
Upregulation of COX-2 protein expression in porcine macula densa with L-NAME treatment
… OF MISSOURI-COLUMBIA AT AUTHOR'S REQUEST.] COX-2 inhibitors are newly developed drugs which are widely used for controlling pain and inflammation. Blocking this enzyme impedes the production of the prostaglandins that cause pain and swelling. However certain prostaglandins are also important …
Page 1 of 55