Open Access. Powered by Scholars. Published by Universities.®

Statistical Methodology Commons

Open Access. Powered by Scholars. Published by Universities.®

1,035 Full-Text Articles 1,399 Authors 520,909 Downloads 109 Institutions

All Articles in Statistical Methodology

Faceted Search

1,035 full-text articles. Page 1 of 33.

Regression-Based Methods For Dynamic Treatment Regimes With Mismeasured Covariates Or Misclassified Response, Dan Liu 2022 The University of Western Ontario

Regression-Based Methods For Dynamic Treatment Regimes With Mismeasured Covariates Or Misclassified Response, Dan Liu

Electronic Thesis and Dissertation Repository

The statistical study of dynamic treatment regimes (DTRs) focuses on estimating sequential treatment decision rules tailored to patient-level information across multiple stages of intervention. Regression-based methods in DTR have been studied in the literature with a critical assumption that all the observed variables are precisely measured. However, this assumption is often violated in many applications. One example is the STAR*D study, in which the patient's depressive score is subject to measurement error. In this thesis, we explore problems in the context of DTR with measurement error or misclassification considered in the observed data.

The first project deals with ...


Copulas, Maximal Dependence, And Anomaly Detection In Bi-Variate Time Series, Ning Sun 2022 The University of Western Ontario

Copulas, Maximal Dependence, And Anomaly Detection In Bi-Variate Time Series, Ning Sun

Electronic Thesis and Dissertation Repository

This thesis focuses on discussing non-parametric estimators and their asymptotic behaviors for indices developed to characterize bi-variate time series. There are typically two types of indices depending on whether the distributional information is involved. For the indices containing the distributional information of the bivariate stationary time series, we particularly focus on the index called the tail order of maximal dependence (TOMD), which is an improvement of the tail order. For the indices without distributional information of the bivariate time series, we focus on an anomaly detection index for univariate input-output systems.

This thesis integrates three articles. The first article (Chapter ...


Bias-Corrected Bagging In Active Learning With An Actuarial Application, Yangxuan Xu 2022 Western University

Bias-Corrected Bagging In Active Learning With An Actuarial Application, Yangxuan Xu

Undergraduate Student Research Internships Conference

The variable annuity (VA) is a modern insurance product that offers certain guaranteed protection and tax-deferred treatment. Because of the inherent complexity of guarantees’ payoff, the closed-form solution of fair market values (FMVs) is often not available. Most insurance companies depend on Monte Carlo (MC) simulation to price the FMVs of these products, which is an extremely computational intensive and time-consuming approach. The metamodeling approach can be used to circumvent the heavy computation.

In the modeling stage, the bagged tree method has proved to outperform other parametric approaches. Also, a bias-corrected (BC) bagging model was tried and showed significant improvement ...


The Q-Analogue Of The Extended Generalized Gamma Distribution, Wenhao Chen 2022 Western University

The Q-Analogue Of The Extended Generalized Gamma Distribution, Wenhao Chen

Undergraduate Student Research Internships Conference

This project introduces a flexible univariate probability model referred to as the q-analogue of the Extended Generalized Gamma (or q-EGG) distribution, which encompasses the majority of the most frequently used continuous distributions, including the gamma, Weibull, logistic, type-1 and type-2 beta, Gaussian, Cauchy, Student-t and F. Closed form representations of its moments and cumulative distribution function are provided. Additionally, computational techniques are proposed for determining estimates of its parameters. Both the method of moments and the maximum likelihood approach are utilized. The effect of each parameter is also graphically illustrated. Certain data sets are modeled with q-EGG distributions; goodness of ...


Practical T-Test Power Analysis With R, Teck Kiang Tan 2022 National University of Singapore

Practical T-Test Power Analysis With R, Teck Kiang Tan

Practical Assessment, Research, and Evaluation

Power analysis based on the analytical t-test is an important aspect of a research study to determine the sample size required to detect the effect for the comparison of two means. The current paper presents a reader-friendly procedure for carrying out the t-test power analysis using the various R add-on packages. While there is a growing of R users in the academic that uses R as the base for carrying out research, there is a lack of reference that discusses both frequentist and Bayesian approaches and point out their distinct features for t-test power analysis. The practical aspects of the ...


Dynamic Prediction For Alternating Recurrent Events Using A Semiparametric Joint Frailty Model, Jaehyeon Yun 2022 Southern Methodist University

Dynamic Prediction For Alternating Recurrent Events Using A Semiparametric Joint Frailty Model, Jaehyeon Yun

Statistical Science Theses and Dissertations

Alternating recurrent events data arise commonly in health research; examples include hospital admissions and discharges of diabetes patients; exacerbations and remissions of chronic bronchitis; and quitting and restarting smoking. Recent work has involved formulating and estimating joint models for the recurrent event times considering non-negligible event durations. However, prediction models for transition between recurrent events are lacking. We consider the development and evaluation of methods for predicting future events within these models. Specifically, we propose a tool for dynamically predicting transition between alternating recurrent events in real time. Under a flexible joint frailty model, we derive the predictive probability of ...


To Logit Or Not To Logit Data In The Unit Interval: A Simulation Study, Kayode Idris Hamzat 2022 University of Windsor

To Logit Or Not To Logit Data In The Unit Interval: A Simulation Study, Kayode Idris Hamzat

Major Papers

In this paper, we recommend a mechanism for determining whether to logit or not to logit data in the unit interval which is based on quantile estimation of data between 0 and 1. By using a simulated dataset generated from a Beta regression model, the estimated quantile for this model perform better than those based on the linear quantile regression with logit transformation.

Further, we investigate the performance of the quantile regression estimators based on the LQR and we conclude that it is better than those based on the Beta regression when the distribution is contaminated with 10% uniform numbers ...


Advanced High Dimensional Regression Techniques, Yuan Yang 2022 Clemson University

Advanced High Dimensional Regression Techniques, Yuan Yang

All Dissertations

This dissertation focuses on developing high dimensional regression techniques to analyze large scale data using both Bayesian and frequentist approaches, motivated by data sets from various disciplines, such as public health and genetics. More specifically, Chapters 2 and Chapter 4 take a Bayesian approach to achieve modeling and parameter estimation simultaneously while Chapter 3 takes a frequentist approach. The main aspects of these techniques are that they perform variable selection and parameter estimation simultaneously, while also being easily adaptable to large-scale data. In particular, by embedding a logistic model into traditional spike and slab framework and selecting of proper prior ...


New Developments On The Estimability And The Estimation Of Phase-Type Actuarial Models, Cong Nie 2022 The University of Western Ontario

New Developments On The Estimability And The Estimation Of Phase-Type Actuarial Models, Cong Nie

Electronic Thesis and Dissertation Repository

This thesis studies the estimability and the estimation methods for two models based on Markov processes: the phase-type aging model (PTAM), which models the human aging process, and the discrete multivariate phase-type model (DMPTM), which can be used to model multivariate insurance claim processes.

The principal contributions of this thesis can be categorized into two areas. First, an objective measure of estimability is proposed to quantify estimability in the context of statistical models. Existing methods for assessing estimability require the subjective specification of thresholds, which potentially limits their usefulness. Unlike these methods, the proposed measure of estimability is objective. In ...


The Short-Term Effects Of Fine Airborne Particulate Matter And Climate On Covid-19 Disease Dynamics, El Hussain Shamsa, Kezhong Zhang 2022 Wayne State University

The Short-Term Effects Of Fine Airborne Particulate Matter And Climate On Covid-19 Disease Dynamics, El Hussain Shamsa, Kezhong Zhang

Medical Student Research Symposium

Background: Despite more than 60% of the United States population being fully vaccinated, COVID-19 cases continue to spike in a temporal pattern. These patterns in COVID-19 incidence and mortality may be linked to short-term changes in environmental factors.

Methods: Nationwide, county-wise measurements for COVID-19 cases and deaths, fine-airborne particulate matter (PM2.5), and maximum temperature were obtained from March 20, 2020 to March 20, 2021. Multivariate Linear Regression was used to analyze the association between environmental factors and COVID-19 incidence and mortality rates in each season. Negative Binomial Regression was used to analyze daily fluctuations of COVID-19 cases and ...


Adjusting Community Survey Data Benchmarks For External Factors, Allen Miller, Nicole M. Norelli, Robert Slater, Mingyang N. Yu 2022 Southern Methodist University

Adjusting Community Survey Data Benchmarks For External Factors, Allen Miller, Nicole M. Norelli, Robert Slater, Mingyang N. Yu

SMU Data Science Review

Abstract. Using U.S. resident survey data from the National Community Survey in combination with public data from the U.S. Census and additional sources, a Voting Regressor Model was developed to establish fair benchmark values for city performance. These benchmarks were adjusted for characteristics the city cannot easily influence that contribute to confidence in local government, such as population size, demographics, and income. This adjustment allows for a more meaningful comparison and interpretation of survey results among individual cities. Methods explored for the benchmark adjustment included cluster analysis, anomaly detection, and a variety of regression techniques, including random forest ...


A Study On Privacy Of Iot Devices Among A Sample Of Indians In The U.S- 2021, Sahana Prasad Dr, Sharanya Prasad Ms, Vijith Raghavendra, Srishma Sunku 2022 CHRIST

A Study On Privacy Of Iot Devices Among A Sample Of Indians In The U.S- 2021, Sahana Prasad Dr, Sharanya Prasad Ms, Vijith Raghavendra, Srishma Sunku

International Journal of Computer Science and Informatics

The Internet of Things (IoT) has gained immense popularity over the last decade with wide-ranging applications in domains of medicine, science, military as well as domestic use. Despite its tremendous growth, privacy concerns plague IoT applications and have the potential to hamper the benefits derived from its usage. This paper carries out a statistical analysis of empirical data collected from users of IoT to assess the level of awareness among users of IoT. The mode of study was through a questionnaire sent through Google forms to a selection of Indians living across the U.S. The place was chosen as ...


Attempting To Predict The Unpredictable: March Madness, Coleton Kanzmeier 2022 University of Nebraska at Omaha

Attempting To Predict The Unpredictable: March Madness, Coleton Kanzmeier

Theses/Capstones/Creative Projects

Each year, millions upon millions of individuals fill out at least one if not hundreds of March Madness brackets. People test their luck every year, whether for fun, with friends or family, or to even win some money. Some people rely on their basketball knowledge whereas others know it is called March Madness for a reason and take a shot in the dark. Others have even tried using statistics to give them an edge. I intend to follow a similar approach, using statistics to my advantage. The end goal is to predict this year’s, 2022, March Madness bracket. To ...


Assessing The Influence Of Health Policy And Population Mobility On Covid-19 Spread In Arkansas, Tayden Barretto 2022 University of Arkansas, Fayetteville

Assessing The Influence Of Health Policy And Population Mobility On Covid-19 Spread In Arkansas, Tayden Barretto

Industrial Engineering Undergraduate Honors Theses

The outbreak of COVID-19 has created a major crisis across the world since its start in 2019, and its influence on every realm of society is undeniable. Globally, more than 500 million cases have been recorded since March 2020, with almost 6 million deaths. In the wake of this crisis, many governments and health organizations have taken steps and precautions to mitigate its spread. These steps involve public mandates of information, reducing frequency of personal contact, and use of masks to minimize the risk of transmission. Current access to mobility data released from Google detailing population movements has provided a ...


Advancements In Gaussian Process Learning For Uncertainty Quantification, John C. Nicholson 2022 Clemson University

Advancements In Gaussian Process Learning For Uncertainty Quantification, John C. Nicholson

All Dissertations

Gaussian processes are among the most useful tools in modeling continuous processes in machine learning and statistics. The research presented provides advancements in uncertainty quantification using Gaussian processes from two distinct perspectives. The first provides a more fundamental means of constructing Gaussian processes which take on arbitrary linear operator constraints in much more general framework than its predecessors, and the other from the perspective of calibration of state-aware parameters in computer models. If the value of a process is known at a finite collection of points, one may use Gaussian processes to construct a surface which interpolates these values to ...


Applying Data Analytics As An Alternative To Subjective Rankings Of Players In Fantasy Basketball, Christopher Collins 2022 United States Military Academy

Applying Data Analytics As An Alternative To Subjective Rankings Of Players In Fantasy Basketball, Christopher Collins

Mathematica Militaris

This paper demonstrates the ranking of players for fantasy basketball using one of the platforms of Multi Criteria Decision Making (MCDM), the Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) method. Specially, it compares results of TOPSIS generated fantasy rankings from the 2016-2017 NBA Season against industry fantasy experts’ 2017-2018 NBA pre-season rankings. Fantasy experts combine various techniques to create their rankings. Frequently blending quantitative and qualitative factors in order to project bottom-up rankings, they incongruently mix subjective and objective criterion. Conversely, TOPSIS is a mathematical way of doing literally what its name describes, ranking by a ...


Relationship Between Higher Education And Health Insurance Coverage And Healthcare Utilization For Black Or African American Individuals, Emma Revoir 2022 Bethel University

Relationship Between Higher Education And Health Insurance Coverage And Healthcare Utilization For Black Or African American Individuals, Emma Revoir

Psychology Student Works

Higher education may decrease mortality due to higher income and health insurance availability (Buckles et al., 2016). Education can increase understanding and utilizing health insurance (Gallo et al., 2020). There is a gap in how this relationship affects racial minorities. This study aims to understand how health insurance is affected by education level for Black or African American individuals.


The Relationship Between Adolescents’ Participation In Religious/Spiritual Activities And Mental Health As An Adult, Tiara Lamb 2022 Bethel University

The Relationship Between Adolescents’ Participation In Religious/Spiritual Activities And Mental Health As An Adult, Tiara Lamb

Psychology Student Works

Many receiving mental health treatment across the U.S. see spirituality and religion as very helpful in supporting their mental state (Oxhandler et al., 2021). How often black Americans attended church in adolescence is related to how as a young adult they could spiritually handle mentally stressing situations (Alexander, 2017). There’s a gap in previous studies because most of them study specific groups rather than using a representative sample of the U.S. In addition, there is a lack of studies investigating the relationship between adolescent religiosity/spirituality and adult mental health. This study uses a representative sample and ...


The Association Between Religiosity And Alcohol Use In Adolescents, Daphny Vang 2022 Bethel University

The Association Between Religiosity And Alcohol Use In Adolescents, Daphny Vang

Psychology Student Works

Research has found that the age and strength of religion directly correlate to the level of alcohol consumption(Mason & Windle, 2002). Previous studies show that adult women with stronger religious beliefs consume less alcohol compared to those with weaker religious beliefs (Mattila & et al., 2001). There is a gap in investigating the relationship between religiosity and alcohol use in adolescents. This study provides insight into the relationship between religiosity and alcohol consumption with adolescents.


The Relationship Between Adults Education Level And Their Mental Health Status, Kelsey Bergan 2022 Bethel University

The Relationship Between Adults Education Level And Their Mental Health Status, Kelsey Bergan

Psychology Student Works

Research has shown that those with a higher education are more likely to seek out sources to help them with mental disorders (Ibrahim, et al., 2019; Neimeyer, et al., 2011). Previous studies have found that students with a lower GPA show signs of depression, anxiety and eating disorders (Eisenberg, Globerstein & Hunt, 2009). There is a gap in investigating the relationship between education level and an adult’s mental health experiences. This study will provide insight to the relationship between an adults education level and their mental health.


Digital Commons powered by bepress