Browsing Electronic Theses and Dissertations by Department "Biostatistics"
Now showing items 41-60 of 65
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(2018-03-29)Department: BiostatisticsMediation modeling is prevalent in the biomedical and social sciences. This work describes a novel framework for mediation analysis that yields closed-form expressions for mediation effects and uncertainty estimates, ...
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(2023-05-16)Department: BiostatisticsThe False Discovery Rate (FDR) was introduced as an alternative multiple comparisons adjustment to controlling the family wise error rate. While many variations of the FDR have been proposed, the weakness of the p-value – ...
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(2017-09-18)Department: BiostatisticsThis dissertation consists of three papers related to missing data, prediction, and large scale inference. The first paper defines the problem of obtaining predictions from an exist- ing clinical risk prediction model when ...
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(2022-07-15)Department: BiostatisticsSecond-generation p-values (SGPVs) have been proposed and discussed in the literature as an alternative inferential statistic to indicate when the data support the null or alternative hypothesis, or when the data are ...
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(2019-03-19)Department: BiostatisticsIn a cohort of patients seeking primary care, the Mid-South Coronary Heart Disease Cohort Study (MSCHDCS) sought to examine the association between health literacy and hospitalization risk in the year following enrollment. ...
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(2023-11-07)Department: BiostatisticsReal world observational pharmacokinetic (PK) data, e.g., from Electronic Health Records or measurements collected during routine care, require additional analysis considerations relative to traditional PK trials. These ...
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(2023-11-07)Department: BiostatisticsReal world observational pharmacokinetic (PK) data, e.g., from Electronic Health Records or measurements collected during routine care, require additional analysis considerations relative to traditional PK trials. These ...
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(2020-07-20)Department: BiostatisticsAccelerometers are widely used in industry, engineering, and consumer electronics; however, they have been increasingly utilized in biology and healthcare research. In this thesis, we explore and develop the use of several ...
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(2022-08-17)Department: BiostatisticsThe global burden of respiratory syncytial virus (RSV) is immense. Of the estimated 33.8 million annual RSV-associated cases of acute respiratory infection (ARI), 3.4 million (roughly 10.1%) require hospitalization. The ...
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(2022-11-17)Department: BiostatisticsThere are a variety of methods for modeling disease progression. The choice of which model to use should be motivated by the question of interest and the disease pathology. In Alzheimer’s disease (AD), which is progressive, ...
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(2016-07-27)Department: BiostatisticsIn this dissertation, we develop semiparametric rank-based methods. These types of methods are particularly useful with skewed data, nonlinear relationships, and truncated measurements. Semiparametric rank-based methods ...
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(2014-07-25)Department: BiostatisticsThe discovery of genes linked with a large array of diseases has been accelerated by genome-wide association studies (GWAS), in which genetic variants in different individuals are examined for relationship with a specified ...
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(2022-03-24)Department: BiostatisticsContinuous response variables are often skewed and need to be transformed to meet modeling assumptions, but the choice of the transformation can be challenging. Censored and clustered continuous response data are also ...
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(2019-06-17)Department: BiostatisticsRandomized Trials are considered the gold standard in establishing the benefit of an intervention with the overall societal benefit of knowledge gained outweighing the collective costs in time, money, human resources, etc. ...
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(2015-07-21)Department: BiostatisticsCancers are complex diseases and identification of clinically important subtypes has the potential to guide better prognosis and treatment. The utility of graph-regularized nonnegative matrix factorization (GNMF) has been ...
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(2022-05-14)Department: BiostatisticsMultiplexed imaging is a nascent single-cell assay that can be used to understand and analyze complex processes in tissue-based cancers, autoimmune disorders, and more. These methods are valuable in understanding cell–cell ...
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(2018-07-27)Department: BiostatisticsThere are multiple existing methods to modeling disease progression, and the relationship between risk factors and progression is an important consideration when choosing which method to use. This thesis is motivated by ...
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(2021-08-19)Department: BiostatisticsThis dissertation extends statistical methods in two distinct directions. The first concerns the automation of intravenous drug delivery during anesthesia through "closed-loop" systems. Systems are termed closed-loop when ...
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(2018-08-29)Department: BiostatisticsObservational data from electronic health records (EHRs) are prone to errors which are often correlated across multiple variables. One strategy to assess EHR data quality is to compare the research study data to the original ...
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(2017-11-27)Department: BiostatisticsHormonal therapy adherence is challenging for many patients with hormone-receptor-positive breast cancer. Gaining intuition into their adherence behavior would assist in improving outcomes by pinpointing, and eventually ...