Global ETD Search
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Showing 1 to 8 of 8 for “"Meier estimator"”.
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A Partly Linear Model for Censored Regression Quantiles
… reweighted Censored Regression Quantile (CRQ) estimator of Portnoy (2003), which is essentially a generalization of the Kaplan-Meier estimator, is a useful complement to the Cox proportional hazards model for survival data. This thesis proposes a partly linear model for censored regression …
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Education and labor market outcomes in South Africa: evidence from the National Income Dynamics Study
… or economic inactivity. We use the Kaplan-Meier estimator and the Cox proportion hazard model in these estimations. The results from both estimators show factors that influence unemployment differ by exits, and their effects vary by gender. The hazard rates show that transition rate into …
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Survival analysis for lung cancer patients
… model), one from non-parametric methods (Kaplan-Meier estimator), and one from machine learning approaches (random survival forests). Using the results obtained from these different methods, we identified the best feature types and model combinations to get the top performance for various …
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Long-term virologic responses to responses to antiretroviral therapy among patients entering adherence clubs in Khayelitsha, Cape Town South Africa
… months apart) were estimated using the Kaplan-Meier estimator and Cox proportional hazards models. Viral load completeness was assessed at 4, 16, 28, 40 and 52 months of follow up. Results: Of 11 830 patients, 74% were female and 45% were aged 35-44 years at AC enrolment. The median time on ART …
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Factors Affecting White-tailed Deer Recruitment in Virginia
… Virginia, USA from 2008–2019. We used the Kaplan-Meier estimator, and Cox-proportional hazards models to assess annual survival and factors that influence hazard risk such as sex, weather, landscape composition and configuration and food availability. On Marine Corps Base Quantico, we found an …
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Categorising variables in medical contexts
… the standard methodologies of the Kaplan and Meier estimator in the absence of explanatory variables and Cox's Proportional Hazards model to incorporate explanatory variables will be discussed. A more detailed examination of three alternative methods for analysing survival data in the presence …
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Objective bayesian variable selection for censored data
… is presented. In fact, we define the Kaplan-Meier minimal training sample (KMMTS) which depends on the Kaplan-Meier estimator of the survival function and which contains only suitable weighted uncensored observations. This new proposal could be useful when the censoring percentage is not very …
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Adoption and maintenance of health behaviors among middle-aged and older adults: the role of chronic disease diagnosis and depression
… Matched case-control difference-in-differences estimator was used to estimate the effect of each chronic disease diagnosis on the likelihood of change in each health behavior. Mixed-effects logistic regression was applied to analyze the longitudinal impact of depression on health behaviors and …