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Optimizing Prediction Power of RNA-seq on Intrinsic Characteristics in Breast Cancer
(North Dakota State University, 2022)
Breast cancer is the most common cancer in women worldwide, and accurate and early detection of breast cancer is vital in characterizing the disease. Transcriptomic expression is embedded abundant tumor and cell state ...
Proposed Nonparametric Tests for the Umbrella Alternative in a Mixed Design Testing for Location and Location-Scale
(North Dakota State University, 2022)
Researchers sometimes use the umbrella alternative when testing for differences in treatment effects, where the parameters increase up to a point and decrease after that point. Sometimes different treatment effects may ...
Comparing Prediction Accuracies of Cancer Survival Using Machine Learning Techniques and Statistical Methods in Combination with Data Reduction Methods
(North Dakota State University, 2022)
This comparative study of five-year survival prediction for breast, lung, colon, and leukemia cancers using a large SEER dataset along with 10-fold cross-validation provided us with an insight into the relative prediction ...
Profile Matching in Observational Studies With Multilevel Data
(North Dakota State University, 2022)
Matching is a popular method to use with observational data to replicate desired features of a randomized control trial. A common problem encountered in observational studies is the lack of common support or the limited ...
Performance of Permutation Tests Using Simulated Genetic Data
(North Dakota State University, 2022)
Disease statuses and biological conditions are known to be greatly impacted by differences in gene expression levels. A common challenge in RNA-seq data analysis is to identify genes whose mean expression levels change ...
A Study of Locally D-optimal Designs for the Emax Model with Heteroscedasticity
(North Dakota State University, 2022)
The classic theory of locally optimal designs is developed on the center+error model assuming Gaussianity and homoscedasticity for random error, in which, the Maximum Likelihood Estimator (MLE) turns out to be the most ...
An Analysis of the NBA Draft: Are Teams Drafting Better and Does College Experience Truly Matter
(North Dakota State University, 2022)
This thesis attempts to answer two questions. Are NBA organizations doing a reasonable job at drafting players and getting better at the process, and does college experience play a significant role in a player’s performance ...
Estimating the Number of Genes That Are Differentially Expressed in Two Dependent Experiments or Analyses
(North Dakota State University, 2022)
Many researchers have used the intersection method to compare the results of differential expression analysis between two or more gene expression experiments. Some methods have been proposed to estimate the number of genes ...