Browsing Electronic Theses and Dissertations by Department "Biostatistics"
Now showing items 21-40 of 65
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Development of prognostic model for breast cancer in Shanghai Breast Cancer Survival Study (SBCSS) (2015-07-23)Department: BiostatisticsWe developed prognostic models to predict five-year overall survival (OS), ten-year overall survival (OS), and five-year relapse-free survival (RFS) from Shanghai Breast Cancer Survival Study (SBCSS). SBCSS is a large, ...
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(2018-08-27)Department: BiostatisticsIn this dissertation, we develop a novel single level double-wavelet framework that takes into account the spatial and temporal correlation at ROI-level for both task-induced and resting state fMRI data analysis. Conventional ...
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(2017-01-27)Department: BiostatisticsThis work develops an empirical Bayes approach to statistical difficulties that arise in real-world applications. Empirical Bayes methods use Bayesian machinery to obtain statistical estimates, but rather than having a ...
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(2020-06-05)Department: BiostatisticsMany scientific questions focus on estimating the correlation between two variables. When the two variables are times to events, one or both of the variables may be censored. For example, when estimating the correlation ...
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(2018-07-24)Department: BiostatisticsChart reviews are often needed to collect or adjudicate information for retrospective studies in the absence of reliable research databases. For studies with smaller sample sizes, it is relatively feasible to review all ...
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(2020-03-12)Department: BiostatisticsType 1 diabetes is a chronic disease that cannot be cured, but instead it must be managed through exogenous insulin replacement. Different insulin treatment regimens are available, and understanding the differences is ...
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(2021-11-19)Department: BiostatisticsObservational studies with time-to-event outcomes in electronic healthcare records have been widely used to estimate the effects of treatments, exposures, and medical interventions on health outcomes in a typical clinical ...
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(2015-03-31)Department: BiostatisticsA general rule of thumb for survival analysis is to have at least 15 events per variable in order to produce reliable inference in terms of accuracy and precision of regression coefficient estimates. Sometimes, even well ...
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(2017-06-26)Department: BiostatisticsThe CDC Wide-ranging ONline Data for Epidemiologic Research (CDC WONDER) makes many health-related datasets available to the public health community through web applications. One such available dataset is The Multiple Cause ...
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(2020-11-18)Department: BiostatisticsLogistic regression models are used in the majority of genomic studies to analyze the genetic data linked to electronic health record (EHR) data, and do not take full usage of the time-to-event information available in ...
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(2014-11-25)Department: BiostatisticsThere is insufficient understanding of the relationship between the severity of physiologic illness and the transitions in cognitive and functional health states of patients during the course of an intensive care unit (ICU) ...
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(2022-01-14)Department: BiostatisticsMany statistical methods have been proposed for variable selection in the past decades, but few balance inference and prediction tasks well. Here we investigate a novel variable selection approach called Penalized regression ...
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(2023-07-12)Department: BiostatisticsThe development of models to predict sensitivity to anticancer drugs is an area of significant interest, given the diverse responses to treatment among patients and the considerable expense and time involved in anticancer ...
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(2022-11-11)Department: BiostatisticsLarge clinical and epidemiological studies allow researchers to study drug and exposure effects across populations and increase the chance of observing rare events. However, with large studies come increased data volume, ...
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(2018-03-28)Department: BiostatisticsWhile estimators that incorporate both direct covariate adjustment and inverse probability weighting have drawn considerable interest, their finite sample properties have been challenged in seminal papers, such as Freedman ...
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(2013-07-30)Department: BiostatisticsBioequivalence (BE) is required for approval of generic drugs by the US FDA and other countries’ regulatory authorities. A test drug should be bioequivalent to a reference drug for pharmacokinetic parameters such as the ...
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(2020-08-18)Department: BiostatisticsFMRI data can help identify areas of the brain that are activated due to external stimuli. Comparing activated brain regions in participants with and without a disease can help researches understand more about how certain ...
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(2018-07-27)Department: BiostatisticsMachine learning and artificial intelligence methods are commonly associated with robotics and gaming. In this dissertation, I investigated machine learning techniques in an entirely new field, disease outbreak management. ...
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(2018-07-09)Department: BiostatisticsMedication non-adherence is a widespread problem and has been known to be associated with worse health outcomes and increased healthcare costs. There have been large efforts to improve adherence by finding effective ...
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(2020-11-06)Department: BiostatisticsElectronic health records (EHRs) provide unprecedented amounts of data, facilitating entirely new kinds of observational research studies. One valuable and challenging area of research enabled by these databases is ...