Open Access. Powered by Scholars. Published by Universities.®
![Digital Commons Network](http://assets.bepress.com/20200205/img/dcn/DCsunburst.png)
Physical Sciences and Mathematics Commons™
Open Access. Powered by Scholars. Published by Universities.®
- Keyword
-
- Bioinformatics (2)
- Applied mathematics (1)
- BDHS (1)
- Bangladesh (1)
- Bayes Estimator (1)
-
- Biostatistics (1)
- Bisphenol A (1)
- Breast cancer (1)
- Burrows' Estimator (1)
- Climate (1)
- Complex systems model (1)
- Correlates (1)
- Counter-terrorism (1)
- Differentially expressed (1)
- Earth (1)
- Endocrine disruptors (1)
- Endometriosis (1)
- Estimator (1)
- Extremism (1)
- Florida (1)
- Fold change (1)
- GIS (1)
- Genes (1)
- Genomics (1)
- Geographically-weighted regression (1)
- Global Warming (1)
- Goodness-of-fit (1)
- Government (1)
- Ground (1)
- Group Testing (1)
Articles 1 - 10 of 10
Full-Text Articles in Physical Sciences and Mathematics
Models Describing The Sea Level Rise In Key West, Florida, Karm-Ervin Jean
Models Describing The Sea Level Rise In Key West, Florida, Karm-Ervin Jean
FIU Electronic Theses and Dissertations
Lately, we have been noticing an unusual rise in the sea level near many Floridian cities. By 2060, scientists believe that the sea level in the city of Key West will reach between 22.86 to 60.96 centimeters (Strauss et al. 2012). The consequences of sea level rise are unpleasant by gradually tearing away our beaches and natural resources, destroying our homes and businesses, etc. Definitively, a continual increase of the sea level will affect everyone either directly or indirectly.
In this study, the sea level measurements of four Floridian coastal cities (including Key West) are collected in order to describe …
Gis-Integrated Mathematical Modeling Of Social Phenomena At Macro- And Micro- Levels—A Multivariate Geographically-Weighted Regression Model For Identifying Locations Vulnerable To Hosting Terrorist Safe-Houses: France As Case Study, Elyktra Eisman
FIU Electronic Theses and Dissertations
Adaptability and invisibility are hallmarks of modern terrorism, and keeping pace with its dynamic nature presents a serious challenge for societies throughout the world. Innovations in computer science have incorporated applied mathematics to develop a wide array of predictive models to support the variety of approaches to counterterrorism. Predictive models are usually designed to forecast the location of attacks. Although this may protect individual structures or locations, it does not reduce the threat—it merely changes the target. While predictive models dedicated to events or social relationships receive much attention where the mathematical and social science communities intersect, models dedicated to …
Integrated Bioinformatics, Environmental Epidemiologic And Genomic Approaches To Identify Environmental And Molecular Links Between Endometriosis And Breast Cancer, Deodutta Roy, Marisa L. Morgan, Changwon Yoo, Alok Deoraj, Sandhya Roy, Vijay Kumar Yadav, Mohannad Garoub, Hamza Assaggaf, Mayur Doke
Integrated Bioinformatics, Environmental Epidemiologic And Genomic Approaches To Identify Environmental And Molecular Links Between Endometriosis And Breast Cancer, Deodutta Roy, Marisa L. Morgan, Changwon Yoo, Alok Deoraj, Sandhya Roy, Vijay Kumar Yadav, Mohannad Garoub, Hamza Assaggaf, Mayur Doke
Department of Biostatistics Faculty Publications
We present a combined environmental epidemiologic, genomic, and bioinformatics approach to identify: exposure of environmental chemicals with estrogenic activity; epidemiologic association between endocrine disrupting chemical (EDC) and health effects, such as, breast cancer or endometriosis; and gene-EDC interactions and disease associations. Human exposure measurement and modeling confirmed estrogenic activity of three selected class of environmental chemicals, polychlorinated biphenyls (PCBs), bisphenols (BPs), and phthalates. Meta-analysis showed that PCBs exposure, not Bisphenol A (BPA) and phthalates, increased the summary odds ratio for breast cancer and endometriosis. Bioinformatics analysis of gene-EDC interactions and disease associations identified several hundred genes that were altered by …
Type 2 Diabetes And Its Correlates Among Adults In Bangladesh: A Population Based Stud, Muhammad Abdul Baker Chowdhury, Md Jamal Uddin, Hafiz M.R. Khan, Md Rabiul Haque
Type 2 Diabetes And Its Correlates Among Adults In Bangladesh: A Population Based Stud, Muhammad Abdul Baker Chowdhury, Md Jamal Uddin, Hafiz M.R. Khan, Md Rabiul Haque
Department of Biostatistics Faculty Publications
Type 2 diabetes is one of the most prevalent non-communicable diseases in Bangladesh. However, the correlates of type 2 diabetes among adults in Bangladesh remain unknown. We aimed to investigate the correlates of type 2 diabetes among the adults in Bangladesh.
Methods : We conducted a cross-sectional study using data from the nationally representative 2011 Bangladesh Demographic and Health Survey. A random sample of 7,543 (3,823 women and 3,720 men) adults of age 35 years and older from both urban and rural areas, who participated in the survey was included. Diabetes was defined as having a fasting plasma blood glucose …
Mangiferin As A Biomarker For Mango Anthracnose Resistance, Herma Pierre
Mangiferin As A Biomarker For Mango Anthracnose Resistance, Herma Pierre
FIU Electronic Theses and Dissertations
Mangos (Mangifera indica L.) are tropical/subtropical fruits belonging to the plant family Anacardiaceae. Anthracnose is the most deleterious disease of mango both in the field and during postharvest handling. It is most commonly caused by the Colletotrichum gloeosporioides complex. Mangiferin, a xanthanoid compound found in at least twelve plant families worldwide (Luo et al., 2012), is present in large amounts of the leaves and edible mangos. Even though this compound plays a pivotal role in the plant’s defense against biotic and abiotic stressors, no correlations been made between the compound and mango anthracnose resistance.
Mangos were collected, grouped …
Comparisons Of Estimators Of Small Proportion Under Group Testing, Xing Wei
Comparisons Of Estimators Of Small Proportion Under Group Testing, Xing Wei
FIU Electronic Theses and Dissertations
Binomial group testing has been long recognized as an efficient method of estimating proportion of subjects with a specific characteristic. The method is superior to the classic maximum likelihood estimator (MLE), particularly when the proportion is small. Under the group testing model, we assume the testing is conducted without error. In the present research, a new Bayes estimator will be proposed that utilizes an additional piece of information, the proportion to be estimated is small and within a given range. It is observed that with the appropriate choice of the hyper-parameter our new Bayes estimator has smaller mean squared error …
Genetic Associations Of Ppargc1a With Type 2 Diabetes: Differences Among Populations With African Origins, Amanpreet K. Cheema, Tan Li, Juan P. Liuzzi, Gustavo G. Zarini, Mehmet T. Dorak, Fatma G. Huffman
Genetic Associations Of Ppargc1a With Type 2 Diabetes: Differences Among Populations With African Origins, Amanpreet K. Cheema, Tan Li, Juan P. Liuzzi, Gustavo G. Zarini, Mehmet T. Dorak, Fatma G. Huffman
Department of Biostatistics Faculty Publications
The aim of this study was to assess the differences in correlation of PPARGC1A polymorphisms with type 2 diabetes (T2D) risk in adults of African origins: African Americans and Haitian Americans. The case-control study consisted of >30 years old, self-identified Haitian Americans (n = 110 cases and n = 116 controls) and African Americans (n = 124 cases and n = 122 controls) living in South Florida with and without T2D. Adjusted logistic regression indicated that both SNP rs7656250 (OR = 0.22, P = 0.005) and rs4235308 (OR = 0.42, P = 0.026) showed protective association with T2D in Haitian …
Evaluation Of Some Statistical Methods For The Identification Of Differentially Expressed Genes, Andrew L. Haddon
Evaluation Of Some Statistical Methods For The Identification Of Differentially Expressed Genes, Andrew L. Haddon
FIU Electronic Theses and Dissertations
Microarray platforms have been around for many years and while there is a rise of new technologies in laboratories, microarrays are still prevalent. When it comes to the analysis of microarray data to identify differentially expressed (DE) genes, many methods have been proposed and modified for improvement. However, the most popular methods such as Significance Analysis of Microarrays (SAM), samroc, fold change, and rank product are far from perfect. When it comes down to choosing which method is most powerful, it comes down to the characteristics of the sample and distribution of the gene expressions. The most practiced method is …
Comparison Of Some Improved Estimators For Linear Regression Model Under Different Conditions, Smit Shah
Comparison Of Some Improved Estimators For Linear Regression Model Under Different Conditions, Smit Shah
FIU Electronic Theses and Dissertations
Multiple linear regression model plays a key role in statistical inference and it has extensive applications in business, environmental, physical and social sciences. Multicollinearity has been a considerable problem in multiple regression analysis. When the regressor variables are multicollinear, it becomes difficult to make precise statistical inferences about the regression coefficients. There are some statistical methods that can be used, which are discussed in this thesis are ridge regression, Liu, two parameter biased and LASSO estimators. Firstly, an analytical comparison on the basis of risk was made among ridge, Liu and LASSO estimators under orthonormal regression model. I found that …
An Assessment Of The Performances Of Several Univariate Tests Of Normality, James Olusegun Adefisoye
An Assessment Of The Performances Of Several Univariate Tests Of Normality, James Olusegun Adefisoye
FIU Electronic Theses and Dissertations
The importance of checking the normality assumption in most statistical procedures especially parametric tests cannot be over emphasized as the validity of the inferences drawn from such procedures usually depend on the validity of this assumption. Numerous methods have been proposed by different authors over the years, some popular and frequently used, others, not so much. This study addresses the performance of eighteen of the available tests for different sample sizes, significance levels, and for a number of symmetric and asymmetric distributions by conducting a Monte-Carlo simulation. The results showed that considerable power is not achieved for symmetric distributions when …