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Testing Parallelism for the Four-Parameter Logistic Model with D-Optimal Design
(North Dakota State University, 2018)
In order to determine the potency of the test preparation relative to the standard preparation, it is often important to test parallelism between a pair of dose-response curves of reference standard and test sample. Optimal ...
Investigating Statistical vs. Practical Significance of the Kolmogorov-Smirnov Two-Sample Test Using Power Simulations and Resampling Procedures
(North Dakota State University, 2018)
This research examines the power of the Kolmogorov-Smirnov two-sample test. The motivation for this research is a large data set containing soil salinity values. One problem encountered was that the power of the ...
A Comparison of Methods Taking into Account Asymmetry when Evaluating Differential Expression in Gene Expression Experiments
(North Dakota State University, 2018)
Gene expression technologies allow expression levels to be compared across treatments for thousands of genes simultaneously. Asymmetry in the empirical distribution of the test statistics from the analysis of a gene ...
A Visualization Technique for Course Evaluations and Other Likert Scale Data
(North Dakota State University, 2018)
Course evaluation is one of the primary ways of collecting feedback from students at NDSU. Since almost every student in every course submits one at the end of the semester, it generates a lot of data. The data is summarized ...
Comparative Analysis of Traditional and Modified DECODE Method in Small Sample Gene Expression Experiments
(North Dakota State University, 2018)
Background: The DECODE method integrates differential co-expression and differential expression analysis methods to better understand biological functions of genes and their associations with disease. The DECODE method ...