Browsing by Department "Biostatistics"
Now showing items 1-20 of 42
-
(2020-11-10)Department: BiostatisticsAutism spectrum disorder (ASD) is a group of complex neurodevelopment disorders with a strong genetic basis. Large scale sequencing studies have provided strong evidence for dozens of ASD risk genes. However, it is estimated ...
-
(2018-07-22)Department: BiostatisticsOur brain network, as a complex integrative system, consists of many different regions. Each region has its own task and function and simultaneously shares structural and functional information. With the developed imaging ...
-
(2017-06-20)Department: BiostatisticsOncology phase II clinical trials are used to evaluate the initial effect of a new regimen to determine if there warrants further study in a phase III clinical trial. Two-stage designs with an early futility stop are ...
-
(2020-09-18)Department: BiostatisticsIn observational studies, the propensity score method is often used as an approach to handle the confounding by indication bias. Among other methods, inverse probability of treatment weighting uses weights based on the ...
-
(2016-07-25)Department: BiostatisticsNonstationary Gaussian process regression can be used to transform irregularly episodic and noisy measurements into continuous probability densities to make them more compatible with standard machine learning algorithms. ...
-
(2019-11-21)Department: BiostatisticsIn basic science experiments, there is a tendency to utilize group-specific control measures in the creation of normalized quantities for comparison across groups. The desire is to compare relative knockout and wild-type ...
-
(2018-09-19)Department: BiostatisticsAs neuroimaging studies become more numerous and data are increasingly available, the need for improved understanding of the statistical properties of such data increases as well. In this dissertation, we focus on the ...
-
(2016-12-13)Department: BiostatisticsThis dissertation consists of three papers related to causal inference about the evenly matchable units in observational studies of treatment effect. The first paper begins by defining the evenly matchable units in a sample ...
-
(2018-11-30)Department: BiostatisticsRisk scores developed from risk prediction models assist clinicians and patients as a decision support tool. Additionally, well supported risk scores can also be used as an adjusting risk factor in clinical research. ...
-
(2015-07-21)Department: BiostatisticsBIOSTATISTICS ASSESSMENT OF PROPENSITY SCORE PERFORMANCE IN SMALL SAMPLES EMILY PETERSON Thesis under the direction of Professor Tatsuki Koyama In observational studies, treatment selection is determined by the ...
-
(2018-11-27)Department: BiostatisticsThis dissertation broadly focuses on the advancement and extension of Bayesian methods for multivariate survival analysis with applications in larger data settings. Increased sample information allows researchers to develop ...
-
(2017-08-03)Department: BiostatisticsIn this thesis, we apply and adapt a new method to assess conditional associations in a large dataset from the Vanderbilt University Medical Center Electronic Health Record (EHR). We estimate pairwise rank correlations ...
-
(2020-07-19)Department: BiostatisticsWhen conducting analyses on high dimensional data, one could face statistical difficulties due to large dimensionality and the noisy nature of the data. In this dissertation, we specifically look into potential complexities ...
-
(2017-09-21)Department: BiostatisticsPre-existing cohort data (e.g., electronic health records) are being increasingly available, and the need for novel and efficient uses of these data is paramount due to resource constraints. This dissertation consists of ...
-
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, ...
-
(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 ...
-
(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 ...
-
(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 ...
-
(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 ...
-
(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 ...