Penalized Nonparametric Scalar-On-Function Regression Via Principal Coordinates, 2016 New York University School of Medicine

#### Penalized Nonparametric Scalar-On-Function Regression Via Principal Coordinates, Philip T. Reiss, David L. Miller, Pei-Shien Wu, Wen-Yu Hua

*Philip T. Reiss*

What Will Happen Here?, 2016 bepress university

#### What Will Happen Here?, Sidney Fourteen

*Sidney Fourteen*

A Multi-Indexed Logistic Model For Time Series, 2016 East Tennessee State University

#### A Multi-Indexed Logistic Model For Time Series, Xiang Liu

*Electronic Theses and Dissertations*

In this thesis, we explore a multi-indexed logistic regression (MILR) model, with particular emphasis given to its application to time series. MILR includes simple logistic regression (SLR) as a special case, and the hope is that it will in some instances also produce significantly better results. To motivate the development of MILR, we consider its application to the analysis of both simulated sine wave data and stock data. We looked at well-studied SLR and its application in the analysis of time series data. Using a more sophisticated representation of sequential data, we then detail the implementation of MILR. We compare ...

Probabilistic Methods In Information Theory, 2016 Cal State University-San Bernardino

#### Probabilistic Methods In Information Theory, Erik W. Pachas

*Electronic Theses, Projects, and Dissertations*

Given a probability space, we analyze the uncertainty, that is, the amount of information of a finite system, by studying the entropy of the system. We also extend the concept of entropy to a dynamical system by introducing a measure preserving transformation on a probability space. After showing some theorems and applications of entropy theory, we study the concept of ergodicity, which helps us to further analyze the information of the system.

Hermetic On-Farm Storage For Maize Weevil Control In East Africa, 2016 Iowa State University

#### Hermetic On-Farm Storage For Maize Weevil Control In East Africa, Ali Yakubu, Carl J. Bern, Joel R. Coats, Theodore B. Bailey

*Carl J. Bern*

Maize (Zea mays L.) consumption makes up over half of daily caloric intake of persons in East Africa and adequate supply is necessary for food security for subsistence farmers, as well as for domestic stability. Hermetic post-harvest maize storage is an attractive non-chemical control strategy for maize weevil,Sitophilus zeamais (Motsch.), which is the principal cause of insect damage to stored maize grain. Laboratory experiments were conducted on instrumented hermetic and non-hermetic containers to measure effects of temperature (10 vs. 27°C) and maize moistures (6.3 to 16%) on maize weevil biology and mortality rate, and to quantify weevil ...

Examining Agricultural Investment , 2016 Iowa State University

#### Examining Agricultural Investment , Chad Edward Hart

*Chad Hart*

Using two different approaches, the relationship between a firm's investment and its financial variables is examined. Imperfections in the credit market such as asymmetric information have led researchers to explore these relationships. This study incorporates the 5 Cs of lending (character, capacity, collateral, credit rating, and capital) into the farmer's investment decision and explores the impacts of these variables on a basic data set. The data set is composed of 590 Iowa farms that are members of the Iowa Farm Business Association and have reported farm level financial and production data from 1991 to 1995;The first approach ...

Matching The Efficiency Gains Of The Logistic Regression Estimator While Avoiding Its Interpretability Problems, In Randomized Trials With Binary Outcomes, 2016 Johns Hopkins Bloomberg School of Public Health, Department of Biostatistics

#### Matching The Efficiency Gains Of The Logistic Regression Estimator While Avoiding Its Interpretability Problems, In Randomized Trials With Binary Outcomes, Michael Rosenblum, Jon Arni Steingrimsson

*Johns Hopkins University, Dept. of Biostatistics Working Papers*

Adjusting for prognostic baseline covariates can improve precision in analyzing randomized trials, leading to greater power to detect a treatment effect. For binary outcomes, a logistic regression estimator is commonly used for such adjustment. This has led to substantial efficiency gains in practice; for example, gains equivalent to reducing the required sample size by 20-28% were observed in a recent survey of traumatic brain injury trials. Robinson and Jewell (1991) proved that the logistic regression estimator is guaranteed to have equal or better asymptotic efficiency compared to the unadjusted estimator (which ignores baseline variables). Unfortunately, the logistic regression estimator has ...

Improving Precision By Adjusting For Baseline Variables In Randomized Trials With Binary Outcomes, Without Regression Model Assumptions, 2016 Johns Hopkins Bloomberg School of Public Health

#### Improving Precision By Adjusting For Baseline Variables In Randomized Trials With Binary Outcomes, Without Regression Model Assumptions, Jon Arni Steingrimsson, Daniel F. Hanley, Michael Rosenblum

*Johns Hopkins University, Dept. of Biostatistics Working Papers*

In randomized clinical trials with baseline variables that are prognostic for the primary outcome, there is potential to improve precision and reduce sample size by appropriately adjusting for these variables. A major challenge is that there are multiple statistical methods to adjust for baseline variables, but little guidance on which is best to use in a given context. The choice of method can have important consequences. For example, one commonly used method leads to uninterpretable estimates if there is any treatment effect heterogeneity, which would jeopardize the validity of trial conclusions. We give practical guidance on how to avoid this ...

After Halliburton: Event Studies And Their Role In Federal Securities Fraud Litigation, 2016 University of Pennsylvania Law School

#### After Halliburton: Event Studies And Their Role In Federal Securities Fraud Litigation, Jill E. Fisch, Jonah B. Gelbach, Jonathan Klick

*Jill Fisch*

Event studies have become increasingly important in securities fraud litigation after the Supreme Court’s decision in *Halliburton II*. Litigants have used event study methodology, which empirically analyzes the relationship between the disclosure of corporate information and the issuer’s stock price, to provide evidence in the evaluation of key elements of federal securities fraud, including materiality, reliance, causation, and damages. As the use of event studies grows and they increasingly serve a gatekeeping function in determining whether litigation will proceed beyond a preliminary stage, it will be critical for courts to use them correctly.

This Article explores an array ...

After Halliburton: Event Studies And Their Role In Federal Securities Fraud Litigation, 2016 University of Pennsylvania Law School

#### After Halliburton: Event Studies And Their Role In Federal Securities Fraud Litigation, Jill E. Fisch, Jonah B. Gelbach, Jonathan Klick

*Jill Fisch*

Event studies have become increasingly important in securities fraud litigation after the Supreme Court’s decision in *Halliburton II*. Litigants have used event study methodology, which empirically analyzes the relationship between the disclosure of corporate information and the issuer’s stock price, to provide evidence in the evaluation of key elements of federal securities fraud, including materiality, reliance, causation, and damages. As the use of event studies grows and they increasingly serve a gatekeeping function in determining whether litigation will proceed beyond a preliminary stage, it will be critical for courts to use them correctly.

This Article explores an array ...

An Exploration Of Information Exchange By Adolescents And Parents Participating In Adolescent Idiopathic Scoliosis Online Support Groups, 2016 University of Iowa

#### An Exploration Of Information Exchange By Adolescents And Parents Participating In Adolescent Idiopathic Scoliosis Online Support Groups, Traci Schwieger, Shelly Campo, Keli R. Steuber, Stuart L. Weinstein, Sato Ashida

*Department of Biostatistics Publications*

### Background

Research indicates that healthcare providers frequently fail to adequately address patients’ health information needs. Therefore, it is not surprising that patients or parents of a sick child are seeking health information on the internet, in particular in online support groups (OSGs). In order to improve our understanding of the unmet health information needs of families dealing with adolescent idiopathic scoliosis (AIS), this study assessed and compared the types of information that adolescents and parents are seeking in OSGs.

### Methods

This study used two publicly accessible AIS-related OSGs on the National Scoliosis Foundation (NSF) website that targeted those who are ...

Using Machine Learning And Natural Language Processing Algorithms To Automate The Evaluation Of Clinical Decision Support In Electronic Medical Record Systems, 2016 University of Southern Maine

#### Using Machine Learning And Natural Language Processing Algorithms To Automate The Evaluation Of Clinical Decision Support In Electronic Medical Record Systems, Donald A. Szlosek, Jonathan M. Ferretti

*eGEMs (Generating Evidence & Methods to improve patient outcomes)*

**Introduction: ** As the number of clinical decision support systems incorporated into electronic medical records increases, so does the need to evaluate their effectiveness. The use of medical record review and similar manual methods for evaluating decision rules is laborious and inefficient. Here we use machine learning and natural language processing (NLP) algorithms to accurately evaluate a clinical decision support rule through an electronic medical record system and compare it against manual evaluation.

**Methods: **Modeled after the electronic medical record system EPIC at Maine Medical Center, we developed a dummy dataset containing physician notes in free text for 3621 artificial patients ...

Statistical Methods For Detecting Groups Of Patterns In Daily Step Count Activity Profiles, 2016 Montana State University-Bozeman

#### Statistical Methods For Detecting Groups Of Patterns In Daily Step Count Activity Profiles, Elijah S. Meyer, Tan Tran, Mark Greenwood

*Skyline - The Big Sky Undergraduate Journal*

In recent years, “step counting” has become a constant pre-occupation for some people as a way of trying to tie activity to fitness goals. This has been spurred on by inexpensive digital devices that provide a suite of information on how and how much you move during the day. Many of the consumer interfaces to these data provide summary information that often focuses on daily totals and visual displays of patterns of activity if the user dives a little deeper. This suggests that when you move throughout the day is just as much of a story as how much you ...

Projects In Geospatial Data Analysis: Spring 2016, 2016 University of Colorado, Boulder

#### Projects In Geospatial Data Analysis: Spring 2016, Robert Crimi, Elanor Hoak, Ishita Srivastava, Jesse Wisniewski, Jonathan Blackstock, Keerthi Chikalbettu Pai, Melissa Bica, Michelle Bray, Mikhail Chowdhury, Monal Narasimhamurthy, Nika Shafranov, Sachin Muralidhara, Satchel Spencer, Saurabh Sood, Caleb Phillips

*Computer Science Technical Reports*

This document contains semester projects for students in CSCI 4380/7000 Geospatial Data Analysis (GSA). The course explores the technical aspects of programmatic geospatial data analysis with a focus on GIS concepts, custom GIS programming, analytical and statistical methods, and open source tools and frameworks.

Level Of Patient-Physician Agreement In Assessment Of Change Following Conservative Rehabilitation For Shoulder Pain, 2016 California State University, Fresno

#### Level Of Patient-Physician Agreement In Assessment Of Change Following Conservative Rehabilitation For Shoulder Pain, Stephanie D. Moore-Reed, W. Ben Kibler, Heather M. Bush, Timothy L. Uhl

*Tim L. Uhl*

**Background** Assessment of health-related status has been shown to vary between patients and physicians, although the degree of patient–physician discordance in the assessment of the change in status is unknown.

**Methods** Ninety-nine patients with shoulder dysfunction underwent a standardized physician examination and completed several self-reported questionnaires. All patients were prescribed the same physical therapy intervention. Six weeks later, the patients returned to the physician, when self-report questionnaires were re-assessed and the Global Rating of Change (GROC) was completed by the patient. The physician completed the GROC retrospectively. To determine agreement between patient and physician, intra-class correlation (ICC) coefficient and ...

Multilevel Models For Longitudinal Data, 2016 East Tennessee State University

#### Multilevel Models For Longitudinal Data, Aastha Khatiwada

*Electronic Theses and Dissertations*

Longitudinal data arise when individuals are measured several times during an ob- servation period and thus the data for each individual are not independent. There are several ways of analyzing longitudinal data when different treatments are com- pared. Multilevel models are used to analyze data that are clustered in some way. In this work, multilevel models are used to analyze longitudinal data from a case study. Results from other more commonly used methods are compared to multilevel models. Also, comparison in output between two software, SAS and R, is done. Finally a method consisting of fitting individual models for each ...

After Halliburton: Event Studies And Their Role In Federal Securities Fraud Litigation, 2016 University of Pennsylvania Law School

#### After Halliburton: Event Studies And Their Role In Federal Securities Fraud Litigation, Jill E. Fisch, Jonah B. Gelbach, Jonathan Klick

*Faculty Scholarship*

Event studies have become increasingly important in securities fraud litigation after the Supreme Court’s decision in *Halliburton II*. Litigants have used event study methodology, which empirically analyzes the relationship between the disclosure of corporate information and the issuer’s stock price, to provide evidence in the evaluation of key elements of federal securities fraud, including materiality, reliance, causation, and damages. As the use of event studies grows and they increasingly serve a gatekeeping function in determining whether litigation will proceed beyond a preliminary stage, it will be critical for courts to use them correctly.

This Article explores an array ...

Newsvendor Models With Monte Carlo Sampling, 2016 East Tennessee State University

#### Newsvendor Models With Monte Carlo Sampling, Ijeoma W. Ekwegh

*Electronic Theses and Dissertations*

Newsvendor Models with Monte Carlo Sampling by Ijeoma Winifred Ekwegh The newsvendor model is used in solving inventory problems in which demand is random. In this thesis, we will focus on a method of using Monte Carlo sampling to estimate the order quantity that will either maximizes revenue or minimizes cost given that demand is uncertain. Given data, the Monte Carlo approach will be used in sampling data over scenarios and also estimating the probability density function. A bootstrapping process yields an empirical distribution for the order quantity that will maximize the expected proﬁt. Finally, this method will be used ...

Spatio-Temporal Analysis Of Point Patterns, 2016 East Tennessee State University

#### Spatio-Temporal Analysis Of Point Patterns, Abdul-Nasah Soale

*Electronic Theses and Dissertations*

In this thesis, the basic tools of spatial statistics and time series analysis are applied to the case study of the earthquakes in a certain geographical region and time frame. Then some of the existing methods for joint analysis of time and space are described and applied. Finally, additional research questions about the spatial-temporal distribution of the earthquakes are posed and explored using statistical plots and models. The focus in the last section is in the relationship between number of events per year and maximum magnitude and its effect on how clustered the spatial distribution is and the relationship between ...

Utilizing Computed Tomography Image Features To Advance Prediction Of Radiation Pneumonitis, 2016 The University of Texas Graduate School of Biomedical Sciences at Houston

#### Utilizing Computed Tomography Image Features To Advance Prediction Of Radiation Pneumonitis, Shane P. Krafft

*UT GSBS Dissertations and Theses (Open Access)*

Improving outcomes for non-small-cell lung cancer patients treated with radiation therapy (RT) requires optimizing the balance between local tumor control and risk of normal tissue toxicity. In approximately 20% of patients, severe acute symptomatic lung toxicity, termed radiation pneumonitis (RP), still occurs. Identifying the individuals at risk of RP prior to or early during treatment offers tremendous potential to improve RT by providing the physician with information to assist in making clinical decisions that enhance therapy. Our central goal for this work was to demonstrate the potential gain in predictive accuracy of normal tissue complication probability models for RP by ...