The issue of global climate change and possible remedies has been debated between national governments since the 1970s. While some countries have adopted aggressive measures to address the issue, others have lagged in their efforts. The United States, as a key player in global climate change conferences, has focused its...
This thesis consists of three papers which investigate marginal models, nonparametric approaches, generalized mixed effects models and variance components estimation in longitudinal data analysis. In the first paper, a new marginal approach is introduced for high-dimensional cell-cycle microarray data with no replicates. There are two kinds of correlation for cell-cycle...
We propose a new classification method for longitudinal data based on a semiparametric approach. Our approach builds a classifier by taking advantage of modeling information between response and covariates for each class, and assigns a new subject to the class with the smallest quadratic distance. This enables one to overcome...
In cross-cultural studies, respondents from specific cultures may have different product preferences and scale usage. Combining data from different cultures will result in departures from the basic assumptions of analysis of variance (ANOVA) and loss of power in testing capability of finding product and culture differences. However, the result of...
This paper deals with finite abstract Witt rings in the case where
-1 = 1 in the square class group.
The results also apply to Witt rings
of quadratic forms over fields where √-1
is in the field.
The concept
of relative rigidity is studied in finite abstract Witt rings...
Artificial lipid bilayer technologies are effective models for studying cell membrane properties. Droplet bilayers rely on microfluidics and provide advantages over other bilayer methods due to their compatibility with automated development systems that increase yield while minimizing cost. This paper describes the implementation of bilayer technologies using membrane protein channels...
The Second World War was not just a military struggle but also a struggle between two different agriculture, food distribution, and nutrition systems in the United Kingdom and Nazi Germany. At the start of the war, both countries understood that food and nutrition would play an important role and carefully...
Missing data can lead to biased and inefficient estimation if the missing mechanism is not taken into account in the analysis. In this dissertation we propose two estimators that, under fairly general conditions, are asymptotically unbiased. The first proposed estimator assume the data are missing at random (MAR) and does...
More than twenty million people in the United States are estimated to have substance use disorders, and it is expected that the number will increase in the future. Physicians, especially general practitioners, play important roles in the treatment of substance use and other addiction disorders because they focus on overall...