Statistics and Probability Commons^™

Association Of C-Reactive Protein With Bacterial And Respiratory Syncytial Virus-Associated Pneumonia Among Children Aged <5 Years In The Perch Study., Melissa M Higdon, Tham Le, Katherine L O'Brien, David R Murdoch, Christine Prosperi, Henry C Baggett, Daniel E Park, +Several Additional Authors

Epidemiology Faculty Publications

Background.

Lack of a gold standard for identifying bacterial and viral etiologies of pneumonia has limited evaluation of C-reactive protein (CRP) for identifying bacterial pneumonia. We evaluated the sensitivity and specificity of CRP for identifying bacterial vs respiratory syncytial virus (RSV) pneumonia in the Pneumonia Etiology Research for Child Health (PERCH) multicenter case-control study. Methods.

We measured serum CRP levels in cases with World Health Organization–defined severe or very severe pneumonia and a subset of community controls. We evaluated the sensitivity and specificity of elevated CRP for “confirmed” bacterial pneumonia (positive blood culture or positive lung aspirate or pleural fluid …

Standardization Of Clinical Assessment And Sample Collection Across All Perch Study Sites., Jane Crawley, Christine Prosperi, Henry C Baggett, W Abdullah Brooks, Maria Deloria Knoll, Daniel E Park, +Several Additional Authors

Epidemiology Faculty Publications

Background.: Variable adherence to standardized case definitions, clinical procedures, specimen collection techniques, and laboratory methods has complicated the interpretation of previous multicenter pneumonia etiology studies. To circumvent these problems, a program of clinical standardization was embedded in the Pneumonia Etiology Research for Child Health (PERCH) study.

Methods.: Between March 2011 and August 2013, standardized training on the PERCH case definition, clinical procedures, and collection of laboratory specimens was delivered to 331 clinical staff at 9 study sites in 7 countries (The Gambia, Kenya, Mali, South Africa, Zambia, Thailand, and Bangladesh), through 32 on-site courses and a training website. Staff competency …

The Diagnostic Utility Of Induced Sputum Microscopy And Culture In Childhood Pneumonia., David R Murdoch, Susan C Morpeth, Laura L Hammitt, Amanda J Driscoll, Nora L Watson, Daniel E Park, +Several Additional Authors

Epidemiology Faculty Publications

Background.

Sputum microscopy and culture are commonly used for diagnosing the cause of pneumonia in adults but are rarely performed in children due to difficulties in obtaining specimens. Induced sputum is occasionally used to investigate lower respiratory infections in children but has not been widely used in pneumonia etiology studies. Methods.

We evaluated the diagnostic utility of induced sputum microscopy and culture in patients enrolled in the Pneumonia Etiology Research for Child Health (PERCH) study, a large study of community-acquired pneumonia in children aged 1–59 months. Comparisons were made between induced sputum samples from hospitalized children with radiographically confirmed pneumonia …

Treatment Pathway Of Bone Sarcoma In Children, Adolescents, And Young Adults, Damon R. Reed, Masanori Hayashi, Lars M. Wagner, Odion Binitie, Diana A. Steppan, Andrew S. Brohl, Eric T. Shinohara, Julia A. Bridge, David M. Loeb, Scott C. Borinstein, Michael S. Isakoff

Pediatrics Faculty Publications

When pediatric, adolescent, and young adult patients present with a bone sarcoma, treatment decisions, especially after relapse, are complex and require a multidisciplinary approach. This review presents scenarios commonly encountered in the therapy of bone sarcomas with the goal of objectively presenting a consensus, multidisciplinary management approach. Little variation was found in the authors' group with respect to local control or systemic therapy. Clinical trials were universally prioritized in all settings. Decisions regarding relapse therapies in the absence of a clinical trial had very minor variations initially, but a consensus was reached after a literature review and discussion. This review …

Identifying Risk Factors For Interstate Crashes Using Spatial Statistics, Kaitlin Gibson, Matthew Heaton

Journal of Undergraduate Research

The goal of systemic highway safety improvement is to identify road characteristics, called risk factors, associated with a higher prevalence of crashes, so that the roads can be modified to avoid these characteristics. However, the statistical analyses these improvement projects are based on generally use methods which are not appropriate for the data. Our project implements novel spatial statistical methodology which is appropriate and state-of-the-art to identify these risk factors.

An Algorithm For Multiple Regression Variable Selection For Biochemical Oxygen Demand, Zach White, Dr. William Christensen

Journal of Undergraduate Research

Biochemical Oxygen Demand (BOD) is used to measure of the amount of oxygen required by aerobic bacteria and other microorganisms to stabilize decomposable organic matter. It is run as a laboratory based biodegradation test and relies upon the presence of a thriving microbial community that may be naturally present in the sample or artificially introduced by addition of a seed, commonly a known volume of sewage effluent of known BOD. A standard BOD test is run in the dark at a temperature of 20 degrees Celsius for 5 days. This is defined as a five-day BOD (BOD5), which is the …

Real-Time Classification Of Biomedical Signals, Parkinson’S Analytical Model, Abolfazl Saghafi

USF Tampa Graduate Theses and Dissertations

The reach of technological innovation continues to grow, changing all industries as it evolves. In healthcare, technology is increasingly playing a role in almost all processes, from patient registration to data monitoring, from lab tests to self-care tools. The increase in the amount and diversity of generated clinical data requires development of new technologies and procedures capable of integrating and analyzing the BIG generated information as well as providing support in their interpretation.

To that extent, this dissertation focuses on the analysis and processing of biomedical signals, specifically brain and heart signals, using advanced machine learning techniques. That is, the …

Optimal, Two Stage, Adaptive Enrichment Designs For Randomized Trials Using Sparse Linear Programming, Michael Rosenblum, Xingyuan Fang, Han Liu

Johns Hopkins University, Dept. of Biostatistics Working Papers

Adaptive enrichment designs involve preplanned rules for modifying enrollment criteria based on accruing data in a randomized trial. We focus on designs where the overall population is partitioned into two predefined subpopulations, e.g., based on a biomarker or risk score measured at baseline. The goal is to learn which populations benefit from an experimental treatment. Two critical components of adaptive enrichment designs are the decision rule for modifying enrollment, and the multiple testing procedure. We provide a general method for simultaneously optimizing these components for two stage, adaptive enrichment designs. We minimize the expected sample size under constraints on power …

How To Estimate Statistical Characteristics Based On A Sample: Nonparametric Maximum Likelihood Approach Leads To Sample Mean, Sample Variance, Etc., Vladik Kreinovich, Thongchai Dumrongpokaphan

Departmental Technical Reports (CS)

In many practical situations, we need to estimate different statistical characteristics based on a sample. In some cases, we know that the corresponding probability distribution belongs to a known finite-parametric family of distributions. In such cases, a reasonable idea is to use the Maximum Likelihood method to estimate the corresponding parameters, and then to compute the value of the desired statistical characteristic for the distribution with these parameters.

In some practical situations, we do not know any family containing the unknown distribution. We show that in such nonparametric cases, the Maximum Likelihood approach leads to the use of sample mean, …

Non-Normality And Heteroscedasticity In Regression And Anova, Harry Wu

Statistics

No abstract provided.

Comparing Baseball Players Using Expected Runs In Shiny, Spencer Rodrigues

Statistics

No abstract provided.

Analyzing Baseball Data With R, Claudia Sison

Statistics

No abstract provided.

Impact Of Serum Sp-A And Sp-D Levels On Comparison And Prognosis Of Idiopathic Pulmonary Fibrosis: A Systematic Review And Meta-Analysis., Kai Wang, Qing Ju, Jing Cao, Wenze Tang, Jian Zhang

Epidemiology Faculty Publications

Background and objective:

Idiopathic pulmonary fibrosis (IPF) has a poor prognosis in general; however, it is heterogeneous to detect relative biomarkers for predicting the disease progression. Serum biomarkers can be conveniently collected to detect and help to differentially diagnose IPF and predict IPF prognosis. This meta-analysis aimed to evaluate the use of serum surfactant proteins A and D (SP-A and SP-D) for differential diagnosis and prognosis of IPF.

Methods:

Relevant articles were searched in PubMed, Embase, and Chinese National Knowledge Infrastructuredatabases and reviewed by 2 independent readers. Standard mean difference (SMD) and 95% confidence interval (CI) were …

Gridiron-Gurus Final Report: Fantasy Football Performance Prediction, Kyle Tanemura, Michael Li, Erica Dorn, Ryan Mckinney

Computer Science and Software Engineering

Gridiron Gurus is a desktop application that allows for the creation of custom AI profiles to help advise and compete against in a Fantasy Football setting. Our AI are capable of performing statistical prediction of players on both a season long and week to week basis giving them the ability to both draft and manage a fantasy football team throughout a season.

Understanding Angiography-Based Aneurysm Flow Fields Through Comparison With Computational Fluid Dynamics, Juan R. Cebral, F. Mut, Bong Jae Chung, L. Spelle, J. Moret, F. Van Nijnatten, D. Ruijters

Department of Applied Mathematics and Statistics Faculty Scholarship and Creative Works

BACKGROUND AND PURPOSE: Hemodynamics is thought to be an important factor for aneurysm progression and rupture. Our aim was to evaluate whether flow fields reconstructed from dynamic angiography data can be used to realistically represent the main flow structures in intracranial aneurysms. MATERIALS AND METHODS: DSA-based flow reconstructions, obtained during interventional treatment, were compared qualitatively with flow fields obtained from patient-specific computational fluid dynamics models and quantitatively with projections of the computational fluid dynamics fields (by computing a directional similarity of the vector fields) in 15 cerebral aneurysms. RESULTS: The average similarity between the DSA and the projected computational fluid …

Incorporating Place And Space: A Hierarchical Spatial Approach To Exploring Preventable Congestive Heart Failure Hospitalizations In New York City, Rachael Weiss Riley

Dissertations and Theses

Background: Faced with rising medical care costs, increasing prevalence, and widening health disparities, preventing congestive heart failure (CHF) hospitalizations is a central public health concern. Despite evidence of geographical clustering in preventable CHF admissions, there is a lack of research designed to examine spatial patterning of CHF and the local area neighborhood determinants that contribute to this variability. This study sought to assess and evaluate the importance of both space and place in analyzing preventable CHF hospitalizations and readmissions by applying appropriate statistical techniques, clarifying the assumption inherent in each method, and interpreting the findings within the context of existing …

Risk Of Incident Clinical Diagnosis Of Alzheimer's Disease-Type Dementia Attributable To Pathology-Confirmed Vascular Disease, Hiroko H. Dodge, Jian Zhu, Randy Woltjer, Peter T. Nelson, David A. Bennett, Nigel J. Cairns, David W. Fardo, Jeffrey A. Kaye, Deniz-Erten Lyons, Nora Mattek, Julie A. Schneider, Lisa C. Silbert, Chengjie Xiong, Lei Yu, Frederick A. Schmitt, Richard J. Kryscio, Erin L. Abner, Smart Data Consortium

Sanders-Brown Center on Aging Faculty Publications

INTRODUCTION: The presence of cerebrovascular pathology may increase the risk of clinical diagnosis of Alzheimer's disease (AD).

METHODS: We examined excess risk of incident clinical diagnosis of AD (probable and possible AD) posed by the presence of lacunes and large infarcts beyond AD pathology using data from the Statistical Modeling of Aging and Risk of Transition study, a consortium of longitudinal cohort studies with more than 2000 autopsies. We created six mutually exclusive pathology patterns combining three levels of AD pathology (low, moderate, or high AD pathology) and two levels of vascular pathology (without lacunes and large infarcts or with …

Development Of Traditional And Rank-Based Algorithms For Linear Models With Autoregressive Errors And Multivariate Logistic Regression With Spatial Random Effects, Shaofeng Zhang

Dissertations

Linear models are the most commonly used statistical methods in many disciplines. One of the model assumptions is that the error terms (residuals) are independent and identically distributed. This assumption is often violated and autoregressive error terms are often encountered by researchers. The most popular technique to deal with linear models with autoregressive errors is perhaps the autoregressive integrated moving average (ARIMA). Another common approach is generalized least squares, such as Cochrane-Orcutt estimation and Prais-Winsten estimation. However, these usually have poor behaviors when fitting small samples. To address this problem, a double bootstrap method was proposed by McKnight et al. …

Mechanistic Mathematical Models: An Underused Platform For Hpv Research, Marc Ryser, Patti Gravitt, Evan R. Myers

Global Health Faculty Publications

Health economic modeling has become an invaluable methodology for the design and evaluation of clinical and public health interventions against the human papillomavirus (HPV) and associated diseases. At the same time, relatively little attention has been paid to a different yet complementary class of models, namely that of mechanistic mathematical models. The primary focus of mechanistic mathematical models is to better understand the intricate biologic mechanisms and dynamics of disease. Inspired by a long and successful history of mechanistic modeling in other biomedical fields, we highlight several areas of HPV research where mechanistic models have the potential to advance the …

Lisinopril Or Coreg Cr In Reducing Cardiotoxicity In Women With Breast Cancer Receiving Trastuzumab: A Rationale And Design Of A Randomized Clinical Trial, Maya Guglin, Pamela Munster, Angelina Fink, Jeffrey Krischer

Internal Medicine Faculty Publications

Background—Trastuzumab (TZB) is an established therapy for HER2 positive breast cancer. The use of TZB is commonly associated with cardiotoxicity manifesting as asymptomatic decrease in left ventricular ejection fraction (LVEF) or overt heart failure. Several studies demonstrated favorable effects of angiotensin converting enzyme (ACE) inhibitors and beta blockers (BB) in the prevention of chemotherapy-induced cardiotoxicity. We hypothesize that patients, randomized to receive an ACE inhibitor or a beta-blocker during trastuzumab therapy for breast cancer, will maintain a higher LVEF than patients randomized to placebo.

Methods and Results—We designed a prospective, multicenter, randomized, phase II placebo-controlled clinical trial to …