Age Dependent Analysis And Modeling Of Prostate Cancer Data,
2013
University of South Florida
Age Dependent Analysis And Modeling Of Prostate Cancer Data, Nana Osei Mensa Bonsu
USF Tampa Graduate Theses and Dissertations
Growth rate of prostate cancer tumor is an important aspect of understanding the natural history of prostate cancer. Using real prostate cancer data from the SEER database with tumor size as a response variable, we have clustered the cancerous tumor sizes into age groups to enhance its analytical behavior. The rate of change of the response variable as a function of age is given for each cluster. Residual analysis attests to the quality of the analytical model and the subject estimates. In addition, we have identified the probability distribution that characterize the behavior of the response variable and proceeded with …
The Positive Illusory Bias And Adhd Symptoms: A New Measurement Approach,
2013
University of South Florida
The Positive Illusory Bias And Adhd Symptoms: A New Measurement Approach, Sarah A. Fefer
USF Tampa Graduate Theses and Dissertations
The purpose of this study was to investigate perceptions of academic and social competence among adolescents with a continuum of inattentive and hyperactive/impulsive symptoms. Past literature suggests that children with Attention-Deficit/Hyperactivity Disorder (ADHD) display self-perceptions that are overly positive compared to external indicators of competence, a phenomenon that is referred to as the positive illusory bias (PIB; Owens, Goldfine, Evangelista, Hoza, & Kaiser, 2007). The PIB is well supported among children with ADHD, and recent research suggests that the PIB persists into adolescence. To date, research on the PIB has relied on difference scores (i.e., an indicator of competence is …
Effectiveness Of Propensity Score Methods In A Multilevel Framework: A Monte Carlo Study,
2013
University of South Florida
Effectiveness Of Propensity Score Methods In A Multilevel Framework: A Monte Carlo Study, Aarti P. Bellara
USF Tampa Graduate Theses and Dissertations
Propensity score analysis has been used to minimize the selection bias in observational studies to identify causal relationships. A propensity score is an estimate of an individual's probability of being placed in a treatment group given a set of covariates. Propensity score analysis aims to use the estimate to create balanced groups, akin to a randomized experiment. This study used Monte Carlo methods to examine the appropriateness of using propensity score methods to achieve balance between groups on observed covariates and reproduce treatment effect estimates in multilevel studies. Specifically, this study examined the extent to which four different propensity score …
A Latent Mixture Approach To Modeling Zero-Inflated Bivariate Ordinal Data,
2013
University of South Florida
A Latent Mixture Approach To Modeling Zero-Inflated Bivariate Ordinal Data, Rajendra Kadel
USF Tampa Graduate Theses and Dissertations
Multivariate ordinal response data, such as severity of pain, degree of disability, and satisfaction with a healthcare provider, are prevalent in many areas of research including public health, biomedical, and social science research. Ignoring the multivariate features of the response variables, that is, by not taking the correlation between the errors across models into account, may lead to substantially biased estimates and inference. In addition, such multivariate ordinal outcomes frequently exhibit a high percentage of zeros (zero inflation) at the lower end of the ordinal scales, as compared to what is expected under a multivariate ordinal distribution. Thus, zero inflation …
Measuring Technical Efficiency Of The Japanese Professional Football (Soccer) League (J1 And J2),
2013
University of South Florida
Measuring Technical Efficiency Of The Japanese Professional Football (Soccer) League (J1 And J2), Dan Zhao
USF Tampa Graduate Theses and Dissertations
This is the first paper to measure the efficiency of the Japan Professional Football League clubs both the first and the second divisions. In Chapter 1, a non-parametric method Data Envelopment Development (DEA) is used and the data covers six seasons from 2005 to 2010. The input variables are payroll, cost besides payroll, and total assets. The output variables are attendance, revenue, and points awarded. I use different output combinations in order to check the sensitivity of the efficiency of the clubs after the original composition. This is also the first research to include more than one division of the …
Do Non-Response Follow-Ups Improve Or Reduce Data Quality?: A Review Of The Existing Literature,
2013
University of Nebraska-Lincoln
Do Non-Response Follow-Ups Improve Or Reduce Data Quality?: A Review Of The Existing Literature, Kristen Olson
Department of Sociology: Faculty Publications
The paper systematically reviews existing literature on the relationship between the level of effort to recruit a sampled person and the measurement quality of survey data. Hypotheses proposed for this relationship are reviewed. Empirical findings for the relationship between level of effort as measured by paradata (the number of follow-up attempts, refusal conversion and time in the field) and question-specific item non-response rates, aggregate measures of item non-response rates, response accuracy and various measurement errors on attitudinal questions are examined through a qualitative review.
Cusum Generalized Variance Charts,
2013
Georgia Southern University
Cusum Generalized Variance Charts, Yuxiang Li
College of Graduate Studies: Theses & Dissertations
The commonly recommended charts for monitoring the mean vector are affected by a shit in the covariance matrix. As in the univariate case, a chart for monitoring for a change in the covariance matrix should be examined first before examining the chart used to monitor for a change in the mean vector.
Rna Profiles Of Porcine Embryos During Genome Activation Reveal Complex Metabolic Switch Sensitive To In Vitro Conditions,
2013
Missouri University of Science and Technology
Rna Profiles Of Porcine Embryos During Genome Activation Reveal Complex Metabolic Switch Sensitive To In Vitro Conditions, Olga Østrup, Gayla R. Olbricht, Esben Østrup, Poul Hyttel, Philippe Collas, Ryan A. Cabot
Mathematics and Statistics Faculty Research & Creative Works
Fertilization is followed by complex changes in cytoplasmic composition and extensive chromatin reprogramming which results in the abundant activation of totipotent embryonic genome at embryonic genome activation (EGA). While chromatin reprogramming has been widely studied in several species, only a handful of reports characterize changing transcriptome profiles and resulting metabolic changes in cleavage stage embryos. The aims of the current study were to investigate RNA profiles of in vivo developed (ivv) and in vitro produced (ivt) porcine embryos before (2-cell stage) and after (late 4-cell stage) EGA and determine major metabolic changes that regulate totipotency. The period before EGA was …
Variable Selection In Nonparametric And Semiparametric Regression Models,
2013
Singapore Management University
Variable Selection In Nonparametric And Semiparametric Regression Models, Liangjun Su, Yonghui Zhang
Research Collection School Of Economics
This chapter reviews the literature on variable selection in nonparametric and semiparametric regression models via shrinkage. We highlight recent developments on simultaneous variable selection and estimation through the methods of least absolute shrinkage and selection operator (Lasso), smoothly clipped absolute deviation (SCAD) or their variants, but restrict our attention to nonparametric and semiparametric regression models. In particular, we consider variable selection in additive models, partially linear models, functional/varying coefficient models, single index models, general nonparametric regression models, and semiparametric/nonparametric quantile regression models.
Gulf-Wide Decreases In The Size Of Large Coastal Sharks Documented By Generations Of Fishermen,
2013
University of South Alabama
Gulf-Wide Decreases In The Size Of Large Coastal Sharks Documented By Generations Of Fishermen, Sean P. Powers, F. Joel Frodrie, Steven B. Scyphers, J. Marcus Drymon, Robert L. Shipp, Gregory W. Stunz
University Faculty and Staff Publications
Large sharks are top predators in most coastal and marine ecosystems throughout the world, and evidence of their reduced prominence in marine ecosystems has been a serious concern for fisheries and ecosystem management. Unfortunately, quantitative data to document the extent, timing, and consequences of changes in shark populations are scarce, thwarting examination of long-term (decadal, century) trends, and reconstructions based on incomplete data sets have been the subject of debate. Absence of quantitative descriptors of past ecological conditions is a generic problem facing many fields of science but is particularly troublesome for fisheries scientists who must develop specific targets for …
Patron-Driven Acquisition And Circulation
At An Academic Library: Interaction Effects
And Circulation Performance Of Print
Books Acquired Via Librarians’
Orders, Approval Plans, And
Patrons’ Interlibrary
Loan Requests,
2013
University of Nebraska - Lincoln
Patron-Driven Acquisition And Circulation At An Academic Library: Interaction Effects And Circulation Performance Of Print Books Acquired Via Librarians’ Orders, Approval Plans, And Patrons’ Interlibrary Loan Requests, David C. Tyler, Christina D. Falci, Joyce C. Melvin, Marylou Epp, Anita M. Kreps
University of Nebraska-Lincoln Libraries: Faculty Publications
Numerous publications on patron-driven acquisition (PDA) for print books and similar materials have reported that patron-requested materials circulate more. Tying circulation to selector may be failing to address the complex of factors that contributes to items’ circulation. In the present study, the authors revisit a PDA program’s data and to determine whether PDA print books’ circulation advantage persists when the potential interactions of several additional variables are taken into account. As with prior studies, library patrons were significantly better predictors of circulation than were librarians or approval plans. However, librarians proved to be significantly better predictors than were approval plans.
Correlation Coefficient Of Interval Neutrosophic Set,
2013
University of New Mexico
Correlation Coefficient Of Interval Neutrosophic Set, Said Broumi, Florentin Smarandache
Branch Mathematics and Statistics Faculty and Staff Publications
In this paper we introduce for the first time the concept of correlation coefficients of interval valued neutrosophic set (INS for short). Respective numerical examples are presented.
An Analysis Of The Educational Value And Impact Of A Dual, Versus Single, Robotic Surgical Console In The Training Of Obgyn Residents,
2013
Lehigh Valley Health Network
An Analysis Of The Educational Value And Impact Of A Dual, Versus Single, Robotic Surgical Console In The Training Of Obgyn Residents, Joseph E. Patruno Md, Hubert K. Huang Ms, Med, Michelle W. Huang Md, Thomas Hutchinson Md, Martin A. Martino Md
Department of Obstetrics & Gynecology
No abstract provided.
The Challenge Of Early Inpatient Postpartum Depression Screening,
2013
Lehigh Valley Health Network
The Challenge Of Early Inpatient Postpartum Depression Screening, Elizabeth A. Berger Do, John C. Smulian Md, Mph, Joanne Quiñones Md, Msce, Rory L. Marraccini Md, Amy Wu Bs, Elizabeth A. Smulian Bs, Sandra L. Curet Md
Department of Obstetrics & Gynecology
No abstract provided.
Participation In Perinatal Interventional Research: Which Characteristics Matter?,
2013
Lehigh Valley Health Network
Participation In Perinatal Interventional Research: Which Characteristics Matter?, Hai-Yen T. Nguyen Md, Joanne Quiñones Md, Msce, Daniel G. Kiefer Md, Anita Kurt Phd, Rn, Felisa Saldutti, John C. Smulian Md, Mph
Department of Obstetrics & Gynecology
No abstract provided.
N-Valued Refined Neutrosophic Logic And Its Applications To Physics,
2013
University of New Mexico
N-Valued Refined Neutrosophic Logic And Its Applications To Physics, Florentin Smarandache
Branch Mathematics and Statistics Faculty and Staff Publications
In this paper we present a short history of logics: from particular cases of 2-symbol or numerical valued logic to the general case of n-symbol or numerical valued logic. We show generalizations of 2-valued Boolean logic to fuzzy logic, also from the Kleene’s and Lukasiewicz’ 3-symbol valued logics or Belnap’s 4-symbol valued logic to the most general n-symbol or numerical valued refined neutrosophic logic. Two classes of neutrosophic norm (n-norm) and neutrosophic conorm (n-conorm) are defined. Examples of applications of neutrosophic logic to physics are listed in the last section. Similar generalizations can be done for n-Valued Refined Neutrosophic Set, …
Revising Common Core Georgia Performance Standards Statistics Lesson Plans To Better Align With Statistical Practice,
2013
Georgia Southern University
Revising Common Core Georgia Performance Standards Statistics Lesson Plans To Better Align With Statistical Practice, Rachel Bonilla
College of Graduate Studies: Theses & Dissertations
In this thesis, lesson plans provided by the Georgia Department of Education are revised to give students better exposure and practice working with real-life data. Three learning tasks and a performance task are presented covering a unit lesson on statistical regression. The development of Georgia statistics curriculum standards are reviewed and presented.
Numerical Solutions To The Gross-Pitaevskii Equation For Bose-Einstein Condensates,
2013
Georgia Southern University
Numerical Solutions To The Gross-Pitaevskii Equation For Bose-Einstein Condensates, Luigi Galati
College of Graduate Studies: Theses & Dissertations
In this thesis we compare various potential operators for the two-dimensional (2D) Gross-Pitaevskii equation (GPE) for Bose-Einstein condensates. Both the 2D and the 1D models are scaled to get a three parameter model. Smoothness of initial conditions is considered and choice of method (Split-Step Fourier method with Strang Splitting) is justied. Numerical simulations provide graphical evidence of properties of both focusing and nonfocusing cases.
Income Inequality Measures And Statistical Properties Of Weighted Burr-Type And Related Distributions,
2013
Georgia Southern University
Income Inequality Measures And Statistical Properties Of Weighted Burr-Type And Related Distributions, Meznah R. Al Buqami
College of Graduate Studies: Theses & Dissertations
In this thesis, tail conditional expectation (TCE) in risk analysis, an important measure for right-tail risk, is presented. This value is generally based on the quantile of the loss distribution. Explicit formulas of several tail conditional expectations and inequality measures for Dagum-type models are derived. In addition, a new class of weighted Burr-III (WBIII) distribution is presented. The statistical properties of this distribution including hazard and reverse hazard functions, moments, coefficient of variation, skewness, and kurtosis, inequality measures, entropy are derived. Also, Fisher information and maximum likelihood estimates of the model parameters are obtained.
Statistical Analysis Of Microarray Data In Sleep Deprivation,
2013
Missouri University of Science and Technology
Statistical Analysis Of Microarray Data In Sleep Deprivation, Stephanie Marie Berhorst
Masters Theses
"Microarray technology is a useful tool for studying the expression levels of thousands of genes or exons within a single experiment. Data from microarray experiments present many challenges for researchers since costly resources often limit the experimenter to small sample sizes and large amounts of data are generated. The researcher must carefully consider the appropriate statistical analysis to use that aligns with the experimental design employed. In this work, statistical issues are investigated and addressed for a microarray experiment that examines how expression levels change over time as individuals are sleep deprived. Over the course of 48 hours of sleep …
