Statistics and Probability Commons^™

Guidelines For Assessment And Instruction In Statistics Education (Gaise) College Report 2016, Robert Carver, Michelle Everson, John Gabrosek, Nicholas Horton, Robin Lock, Megan Mocko, Allan Rossman, Ginger Holmes Roswell, Paul Velleman, Jeffrey Witmer, Beverly Wood

Publications

In 2005 the American Statistical Association (ASA) endorsed the Guidelines for Assessment and Instruction in Statistics Education (GAISE) College Report. This report has had a profound impact on the teaching of introductory statistics in two- and four-year institutions, and the six recommendations put forward in the report have stood the test of time. Much has happened within the statistics education community and beyond in the intervening 10 years, making it critical to re-evaluate and update this important report. For readers who are unfamiliar with the original GAISE College Report or who are new to the statistics education community, the full …

Bayesian Nonparametric Approaches To Multiple Testing, Density Estimation, And Supervised Learning, William Cipolli Iii

Theses and Dissertations

This dissertation presents methods for several applications of Polya tree models. These novel nonparametric approaches to the problems of multiple testing, density estimation and supervised learning provide an alternative to other parametric and nonparametric models. In Chapter 2, the proposed approximate finite Polya tree multiple testing procedure is very successful in correctly classifying the observations with non-zero mean in a computationally efficient manner; this holds even when the non-zero means are simulated from a mean-zero distribution. Further, the model is capable of this for “interestingly different” observations in the cases where that is of interest. Chapter 3 proposes discrete, and …

Development And Application Of Bayesian Semiparametric Models For Dependent Data, Junshu Bao

Theses and Dissertations

Dependent data are very common in many research fields, such as medicine (repeated measures), finance (time series), traffic (clustered), etc. Effective control/modeling of the dependency among data can enhance the performance of the models and result in better prediction. In many cases, the correlation itself may be of great interest. In this dissertation, we develop novel Bayesian semi-/nonparametric regression models to analyze data with various dependence structures. In Chapter 2, a Bayesian non- parametric multivariate ordinal regression model is proposed to fit drinking behavior survey data from DWI offenders. The responses are two-dimensional ordinal data, drinking frequency and drinking quantity …

Novel Methods For Analyzing Longitudinal Data With Measurement Error In The Time Variable, Caroline Munindi Mulatya

Theses and Dissertations

In some longitudinal studies, the observed time points are often confounded with measurement error due to the sampling conditions, resulting into data with measurement error in the time variable. This type of data occurs mainly in observational studies when the onset of a longitudinal process is unknown or in clinical trials when individual visits do not take place as specified by the study protocol, but are often rounded to coincide with the study protocol. Methodological and inferential implications of error in time varying covariates for both linear and nonlinear models have been studied widely. In this dissertation, we shift attention …

Scalable Collaborative Targeted Learning For High-Dimensional Data, Cheng Ju, Susan Gruber, Samuel D. Lendle, Antoine Chambaz, Jessica M. Franklin, Richard Wyss, Sebastian Schneeweiss, Mark J. Van Der Laan

U.C. Berkeley Division of Biostatistics Working Paper Series

Robust inference of a low-dimensional parameter in a large semi-parametric model relies on external estimators of infinite-dimensional features of the distribution of the data. Typically, only one of the latter is optimized for the sake of constructing a well behaved estimator of the low-dimensional parameter of interest. Optimizing more than one of them for the sake of achieving a better bias-variance trade-off in the estimation of the parameter of interest is the core idea driving the C-TMLE procedure.

The original C-TMLE procedure can be presented as a greedy forward stepwise algorithm. It does not scale well when the number $p$ …

Propensity Score Prediction For Electronic Healthcare Databases Using Super Learner And High-Dimensional Propensity Score Methods, Cheng Ju, Mary Combs, Samuel D. Lendle, Jessica M. Franklin, Richard Wyss, Sebastian Schneeweiss, Mark J. Van Der Laan

U.C. Berkeley Division of Biostatistics Working Paper Series

The optimal learner for prediction modeling varies depending on the underlying data-generating distribution. Super Learner (SL) is a generic ensemble learning algorithm that uses cross-validation to select among a "library" of candidate prediction models. The SL is not restricted to a single prediction model, but uses the strengths of a variety of learning algorithms to adapt to different databases. While the SL has been shown to perform well in a number of settings, it has not been thoroughly evaluated in large electronic healthcare databases that are common in pharmacoepidemiology and comparative effectiveness research. In this study, we applied and evaluated …

Tmle For Marginal Structural Models Based On An Instrument, Boriska Toth, Mark J. Van Der Laan

U.C. Berkeley Division of Biostatistics Working Paper Series

We consider estimation of a causal effect of a possibly continuous treatment when treatment assignment is potentially subject to unmeasured confounding, but an instrumental variable is available. Our focus is on estimating heterogeneous treatment effects, so that the treatment effect can be a function of an arbitrary subset of the observed covariates. One setting where this framework is especially useful is with clinical outcomes. Allowing the causal dose-response curve to depend on a subset of the covariates, we define our parameter of interest to be the projection of the true dose-response curve onto a user-supplied working marginal structural model. We …

Predictors Of Neonatal Abstinence Syndrome In Buprenorphine Exposed Newborn: Can Cord Blood Buprenorphine Metabolite Levels Help?, Darshan Shah, Stacy Brown, Nick Hagemeier, Shimin Zheng, Amy Kyle, Jason Pryor, Nilesh Dankhara, Piyuesh Singh

ETSU Faculty Works

Background

Buprenorphine is a semi-synthetic opioid used for the treatment of opioid dependence. Opioid use, including buprenorphine, has been increasing in recent years, in the general population and in pregnant women. Consequently, there has been a rise in frequency of neonatal abstinence syndrome (NAS), associated with buprenorphine use during pregnancy. The purpose of this study was to investigate correlations between buprenorphine and buprenorphine-metabolite concentrations in cord blood and onset of NAS in buprenorphine exposed newborns.

Methods

Nineteen (19) newborns who met inclusion criteria were followed after birth until discharge in a double-blind non-intervention study, after maternal consent. Cord blood and …

A Powerful Statistical Framework For Generalization Testing In Gwas, With Application To The Hchs/Sol, Tamar Sofer, Ruth Heller, Marina Bogomolov, Christy L. Avery, Mariaelisa Graff, Kari E. North, Alex Reiner, Timothy A. Thornton, Kenneth Rice, Yoav Benjamini, Cathy C. Laurie, Kathleen F. Kerr

UW Biostatistics Working Paper Series

In GWAS, “generalization” is the replication of genotype-phenotype association in a population with different ancestry than the population in which it was first identified. The standard for reporting findings from a GWAS requires a two-stage design, in which discovered associations are replicated in an independent follow-up study. Current practices for declaring generalizations rely on testing associations while controlling the Family Wise Error Rate (FWER) in the discovery study, then separately controlling error measures in the follow-up study. While this approach limits false generalizations, we show that it does not guarantee control over the FWER or False Discovery Rate (FDR) of …

A Randomized, Double-Blind, Placebo-Controlled Phase Ii Trial Investigating The Safety And Immunogenicity Of Modified Vaccinia Ankara Smallpox Vaccine (Mva-Bn®) In 56-80-Year-Old Subjects, Richard N. Greenberg, Christine M. Hay, Jack T. Stapleton, Thomas C. Marbury, Eva Wagner, Eva Kreitmeir, Siegfried Röesch, Alfred Von Krempelhuber, Philip Young, Richard Nichols, Thomas P. Meyer, Darja Schmidt, Josef Weigl, Garth Virgin, Nathaly Arndtz-Wiedemann, Paul Chaplin

Internal Medicine Faculty Publications

Background Modified Vaccinia Ankara MVA-BN^® is a live, highly attenuated, viral vaccine under advanced development as a non-replicating smallpox vaccine. In this Phase II trial, the safety and immunogenicity of Modified Vaccinia Ankara MVA-BN^® (MVA) was assessed in a 56–80 years old population.

Methods MVA with a virus titer of 1 x 10⁸ TCID₅₀/dose was administered via subcutaneous injection to 56–80 year old vaccinia-experienced subjects (N = 120). Subjects received either two injections of MVA (MM group) or one injection of Placebo and one injection of MVA (PM group) four weeks apart. Safety was evaluated …

The Effects Of Age And Gender On Pedestrian Traffic Injuries: A Random Parameters And Latent Class Analysis, Tatok Raharjo Raharjo

USF Tampa Graduate Theses and Dissertations

Pedestrians are vulnerable road users because they do not have any protection while they walk. They are unlike cyclists and motorcyclists who often have at least helmet protection and sometimes additional body protection (in the case of motorcyclists with body-armored jackets and pants). In the US, pedestrian fatalities are increasing and becoming an ever larger proportion of overall roadway fatalities (NHTSA, 2016), thus underscoring the need to study factors that influence pedestrian-injury severity and potentially develop appropriate countermeasures. One of the critical elements in the study of pedestrian-injury severities is to understand how injuries vary across age and gender ‒ …

Upper And Lower Solution Method For Boundary Value Problems At Resonance, Samerah Al Mosa, Paul W. Eloe

Mathematics Faculty Publications

We consider two simple boundary value problems at resonance for an ordinary differential equation. Employing a shift argument, a regular fixed point operator is constructed. We employ the monotone method coupled with a method of upper and lower solutions and obtain sufficient conditions for the existence of solutions of boundary value problems at resonance for nonlinear boundary value problems. Three applications are presented in which explicit upper solutions and lower solutions are exhibited for the first boundary value problem. Two applications are presented for the second boundary value problem. Of interest, the upper and lower solutions are easily and explicitly …

Total Versus Partial Splenectomy In Pediatric Hereditary Spherocytosis: A Systematic Review And Meta-Analysis, Leonardo Guizzetti

Epidemiology and Biostatistics Publications

To compare the clinical effectiveness of total (TS) or partial (PS) splenectomy in pediatric hereditary spherocytosis, a systematic review and meta-analysis was performed (PROSPERO registration CRD42015030056). There were 14 observational studies comparing pre- and post- operative hematologic parameters. Secondary outcomes include in-hospital infections, surgical complications, symptomatic recurrence and biliary disease. TS is more effective than PS to increase hemoglobin (3.6 g/dL vs 2.2 g/dL) and reduce reticulocytes (12.5% vs 6.5%) after one year; outcomes following PS are stable for at least 6 years. There were no cases of overwhelming post-splenectomy sepsis. A population-based patient registry is needed for long-term follow-up.

Dealing With Zero-Numerators In Estimating Drug-Dependence Chances: A Bayesian Approach, Olga A. Vsevolozhskaya, Fernando A. Wagner, James C. Anthony

Biostatistics Presentations

Aims: At CPDD 2015, we applied parametric Hill functions to estimate the probability of drug dependence in relation to the duration of drug-taking experience. A problem we and others have encountered in the estimation of risk of becoming a drug dependence case is an observed point estimate of zero – the so-called “zero-numerator problem.” This problem can be easily observed in certain low risk subgroups even when the sample is large (e.g., the incidence of heroin dependence among 12 year old newly incident heroin users) or with small subgroup sample sizes. In these instances, tan observed zero point estimate …

Research On Problem Gambling Websites, Chang Boon Patrick Lee

International Conference on Gambling & Risk Taking

This is a continuation of a series of studies on problem gambling websites. It has been noted in prior studies that one avenue problem gamblers might look for help was to go online to perform a web search. Online help is practical as help can be located immediately and this can help to ease the gamblers’ concerns that they are left alone to handle their own problems. While there are some anecdotal evidences regarding the success of problem gambling websites, there have been few empirical studies that relate directly to the perceptions and usefulness of the websites for the problem …

Optimal Strategy For Gambling Pools, Aaron C. Brown

International Conference on Gambling & Risk Taking

In gambling pools, entrants submit predictions and the prizes are awarded to the prediction or predictions closest to actual outcomes. Some well-known examples are football pools (both the global and American game versions), toto, NCAA March Madness bracket pools and horse racing tournaments. For small pools with complete information about outcome probabilities, exact game theory optimal solutions are straightforward to compute. If there is also complete information about the number and strategy of other players, optimal exploitive strategies are even easier to derive. These problems have been treated in the literature.

This paper argues that the complete information approaches are …

An Empirical Evaluation Of The Clubsnsw (Australia) Multi-Venue Self-Exclusion Program, Dylan A. Pickering, Alexander Blaszczynski, Sally Gainsbury, Rowan Cameron

International Conference on Gambling & Risk Taking

Few empirical studies have evaluated the effectiveness of self-exclusion programs. Research is required to identify factors contributing to decisions to enter and/or breach self-exclusion orders, or to self-excluded gamblers to seek additional treatment. Clinical characteristics of self-excluders remain relatively unknown in addition to factors that differentiate gamblers who do or do not breach. Limitations of current programs are that gamblers can self-exclude from only one or a limited number of venues. The Multi-venue Self-exclusion program, developed and implemented by ClubsNSW (Australia), is a centralised web-based system designed to help problem gamblers self exclude from up to 35 venues at a …

Mandatory Pre-Commitment Loss Limits: Six Years’ Experience Shows It Works, Bjorn H. Hoffmann

International Conference on Gambling & Risk Taking

The Norwegian state owned company Norsk Tipping is a pioneer in the gambling indusrty with its secure player identification and mandatory registered play across all channels. Knowing who your player is and having a strong link between the player and his consumption of games across all channels (land based, EGM, web and mobile) is an important premise for having a credible responsible gaming platform.

Norsk Tipping introduced in 2009 EGM’s with both pre commitment tools and maximum loss limits. In 2014 we introduced our Internet casino with probably the best responsible gambling platform in the world, including mandatory loss limits. …

Best Practices For Self-Exclusion Reinstatement And Renewal, Alex Price

International Conference on Gambling & Risk Taking

While many studies have examined self-exclusion few have focused on the processes through which gamblers return at the end of their agreements. In 2014, the RGC Centre for the Advancement of Best Practices examined voluntary self-exclusion reinstatement and renewal in an effort to develop evidence-informed best-practices for both land-based and online gambling operations. The presentation outlines the findings of the study and the recommended best practices for reintegration and ban renewal.

The study examined a range of practices around the world. In the end the study recommended an active reinstatement process in which all participants are required to apply to …

Monitoring Gambling Impacts In Massachusetts: Honing Strategies And Preventing Harm, Rachel A. Volberg, Amanda Houpt

International Conference on Gambling & Risk Taking

In November 2011, an Act Establishing Expanded Gaming in the Commonwealth of Massachusetts was signed into law (Chapter 194 of the Acts of 2011). This legislation permits casinos and slot parlors in Massachusetts under the regulatory auspices of the Massachusetts Gaming Commission (MGC). Section 71 of the Expanded Gaming Act requires the MGC to establish an annual research agenda to assist in understanding the effects of casino gambling in Massachusetts and in minimizing the negative impacts. Research activities launched thus far include a comprehensive study of the social and economic impacts of casino gambling in Massachusetts (SEIGMA), a cohort study …