Digital Commons Network^™

Modeling Non-Normal Distributions With Mixed Third-Order Polynomials Of Standard Normal And Logistic Variables, Mohan D. Pant, Aditya Chakraborty, Ismail El Moudden

Epidemiology, Biostatistics, & Environmental Health Faculty Publications

Continuous data associated with many real-world events often exhibit non-normal characteristics, which contribute to the difficulty of accurately modeling such data with statistical procedures that rely on normality assumptions. Traditional statistical procedures often fail to accurately model non-normal distributions that are often observed in real-world data. This paper introduces a novel modeling approach using mixed third-order polynomials, which significantly enhances accuracy and flexibility in statistical modeling. The main objective of this study is divided into three parts: The first part is to introduce two new non-normal probability distributions by mixing standard normal and logistic variables using a piecewise function of …

Machine Learning Models For Pancreatic Cancer Survival Prediction: A Multi-Model Analysis Across Stages And Treatments Using The Surveillance, Epidemiology, And End Results (Seer) Database, Aditya Chakraborty, Mohan D. Pant

Epidemiology, Biostatistics, & Environmental Health Faculty Publications

Background: Pancreatic cancer is among the most lethal malignancies, with poor prognosis and limited survival despite treatment advances. Accurate survival modeling is critical for prognostication and clinical decision-making. This study had three primary aims: (1) to determine the best-fitting survival distribution among patients diagnosed and deceased from pancreatic cancer across stages and treatment types; (2) to construct and compare predictive risk classification models; and (3) to evaluate survival probabilities using parametric, semi-parametric, non-parametric, machine learning, and deep learning methods for Stage IV patients receiving both chemotherapy and radiation. Methods: Using data from the SEER database, parametric models (Generalized Extreme Value, …

A Modern Optimization Approach With Data-Driven Analytical Modeling For The Healthcare Business Segment (Hbs) From The S&P 500, Aditya Chakraborty, Chris Tsokos

Epidemiology, Biostatistics, & Environmental Health Faculty Publications

Introduction: The S&P consists of eleven business segments, which are classified according to the type of industry. The current study focuses on developing a non-linear analytical model for the Healthcare Business Segment (HBS) of the S&P 500, as a function of different economic & financial indicators. Materials and Methods: The analytical model used six financial indicators together with four economic indicators to predict the weekly average closing price (WCP) of HBS stocks. Johnson’s SB transformation corrected skewness, while desirability-based optimization identified indicator values maximizing WCP. The model’s performance and generalizability were validated through repeated 10-fold cross-validation. Results: All attributable contributors …

Vaccines And Publics: A Variety Of Engagement Experiences, David H. Lee

Publications and Research

This chapter is about some of the sites and scenes where members of the public are exposed to (and engage in) vaccination discourse. To preview, after a brief introduction, we begin with messaging models of communication, followed by the move from messaging to engagement. Next, case examples of public engagement with vaccines are introduced, from pandemic influenza preparedness in the U.S., to polio eradication initiatives in India, and then to COVID-19 public engagement events in England. Settings of public engagement are noted, including online, in churches and museums. Then, there’s a section about communication and public participation, seen as either …

Isotonic Phase I Cancer Clinical Trial Design Utilizing Patient-Reported Outcomes, Nolan A Wages, Ruitao Lin

Faculty, Staff and Student Publications

This article considers the concept of designing Phase I clinical trials using both clinician- and patient-reported outcomes to adaptively allocate study participants to tolerable doses and determine the maximum tolerated dose (MTD) at the study conclusion. We describe a new isotonic patient-reported outcome (PRO-ISO) Phase I design with the flexibility of allocating patients to lower, more tolerable regimens if a large number of PRO-DLT events are seen at higher doses. We conduct simulation studies of the operating characteristics of the design and compared them to the patient-reported outcomes continual reassessment method (PRO-CRM). We illustrate that the PRO-ISO makes appropriate dose …

Characterizing Spatial Immune Architecture In Metastatic Melanoma Using High-Dimensional Multiplex Imaging, Joel Eliason, Santhoshi Krishnan, Yasunari Fukuda, Matias A Bustos, Dan Winkowski, Sungnam Cho, Akshay Basi, Regan Baird, Elizabeth A Grimm, Michael A Davies, Dave S B Hoon, Arvind Rao, Jared K Burks, Suhendan Ekmekcioglu

Faculty, Staff and Student Publications

Introduction: Immune checkpoint inhibitors (ICIs) have significantly improved survival for patients with metastatic melanoma, yet many experienceresistance due to immunosuppressive mechanisms within the tumor immune microenvironment (TIME). Understanding how the spatial architecture of immune and inflammatory components changes across disease stages may reveal novel prognostic biomarkers and therapeutic targets.

Methods: We performed high-dimensional spatial profiling of two melanoma tissue microarrays (TMAs), representing Stage III (n = 157) and Stage IV (n = 248) metastatic tumors. Using imaging mass cytometry (IMC) and multiplex immunofluorescence (mIF), we characterized the phenotypic, functional, and spatial properties of the TIME. Cellular neighborhoods were …

Evaluation Of Quantum Contouring Algorithms For Treatment Planning On Mr Abdominal Images, Rachel Glenn, Tucker Netherton, Adrian Celaya, Mohamed Eltaher, Beatrice Riviere, Eugene J Koay, David Fuentes

Faculty, Staff and Student Publications

Introduction: Quantum computing is increasingly being investigated for integration into medical radiology and healthcare applications worldwide. Given its potential to enhance clinical care and medical research, there is growing interest in evaluating its practical applications in clinical workflows.

Methods: We developed an evaluation of quantum computing-based auto-contouring methods to introduce medical physicists to this emerging technology. We implemented existing quantum algorithms as prototypes tailored for specific quantum hardware, focusing on their application to auto-contouring in medical imaging. The evaluation was performed using a medical resonance imaging (MRI) abdominal dataset, comprising 102 patient scans.

Results: The quantum algorithms were applied to …

How Strong Is Strong Enough? Assessing When Physical Performance Tests Cease To Be Predictive Of Sprint Performance In Trained Football Players, Shayne Vial, Mark Scanlan, Philipp Beranek, Daniel Kadlec, Oliver R. Barley, Jodie Cochrane Wilkie

Research outputs 2022 to 2026

Vial, S, Scanlan, M, Beranek, P, Kadlec, D, Barley, OR, and Cochrane Wilkie, J. How strong is strong enough? Assessing when physical performance tests cease to be predictive of sprint performance in trained football players. J Strength Cond Res XX(X): 000-000, 2025 - Quantifying underlying capacities of sprint performance are useful for monitoring training and guiding interventions. Traditional statistical techniques, such as correlation and regression analyses, have been widely used to model relationships between physical capacity and sprint performance. However, these methods often assume linearity, potentially oversimplifying complex, nonlinear interactions, and generalizing group-level data that may misrepresent individual trends. For …

Learning Paradigms For Rhythm Detection And Generation Using Mathematical Models, Biophysical And Artificial Neural Networks, Prianka Bose

Dissertations

Humans possess an inherent ability to recognize evenly-spaced rhythms, known as isochronous rhythms, owing to the brain's predisposition to entrain to external auditory stimuli with regular temporal intervals. The central focus of this research is to understand how the brain learns and retains rhythmic time intervals in the context of music. This dissertation studies rhythm detection and generation through mathematical models, biophysical networks, and artificial neural networks, addressing both isochronous and non-isochronous patterns.

A primary focus of the thesis is on isochronous rhythms. In particular, given a perturbation to an isochronous rhythm such as a tempo change or phase shift …

Machine Learning Methods For Pattern Recognition Analysis Of Genomic And Molecular Data, Kuang Du

Dissertations

While immune therapies achieve remarkable success in treating various cancers, only a subset of patients achieves a durable clinical response, and many exhibit innate or acquired resistance. Precision medicine aims to tailor treatments to individual patients based on specific biological markers, ensuring that each patient receives the therapy most likely to be effective. Predictive biomarkers and gene signatures offer potential for more personalized treatment strategies by identifying patients likely to benefit. Recent studies suggest that gene signatures, comprising sets of genes, hold predictive value for certain clinical variables. Typically derived from biological expert knowledge, these signatures demonstrate substantial predictive potential, …

Single-Step Synthesis Of Activated Carbon From Arabica Spent Coffee Ground Using K2co3 As Activator Agent, Ghina Ivana Mieldan, Yuliusman Yuliusman

Journal of Materials Exploration and Findings

Activated carbon is a nanomaterial that is often used as an effective adsorbent. Activated carbon raw materials can use biomass, such as coffee grounds, which can be found along with the growth of public interest in coffee drinks. Chemical activators are used for activation to increase biomass carbon's adsorption capacity. Using K₂CO₃ activator to increase the specific surface area of activated carbon is more harmless than KOH. The use of spent coffee grounds as carbon source and food additive K₂CO₃ as an activator can make food-grade activated carbon that can be used for food. …

Effect Of Alkyd And Polyester Resin Compositions On Corrosion Resistance, Blistering, And Adhesion In Utilization Of Oily Sludge As Anti-Rust Coating Material, Gerets Land Kakalang, Yohanes David Kristianto, Johny Wahyuadi Mudaryoto

Journal of Materials Exploration and Findings

Oil sludge is a waste derived from upstream and downstream activities of the oil and gas industry which is estimated at 10,000 tonnes generated from all PERTAMINA downstream activities spread across various fields, processing units and depots throughout Indonesia. Oil sludge has the same characteristics as asphalt, where asphalt in previous studies can be used as an anti-rust coating, so that the handling of oily sludge can be topped up by reusing and having its own added value. The purpose of this research is to utilise waste oily sludge as an alternative anti-rust coating material and compare alkyd resin and …

Automated Segmentation Of The Ulnar Nerve In Mri Using Deep Learning Techniques, Akhil Nagulapalli

Theses

Cubital Tunnel Syndrome (CuTS), a condition caused by compression of the ulnar nerve, results in numbness, tingling, pain, and even muscle atrophy, affecting fine motor skills and diminishing patient quality of life. Accurate diagnosis of CuTS is challenging, as current diagnostic methods—including clinical exams, nerve conduction studies, and unaided MRI—often lack the precision to reliably identify the nerve and detect compression in its early stages. Deep learning-based segmentation offers a promising solution, enabling precise and automated identification of nerve structures in MRI images, which could significantly improve diagnostic accuracy and support timely intervention.

A novel deep learning model for segmenting …

Factors Associated With Healthcare Students’ Cognitive Levels Measured By The Classroom Test Of Scientific Reasoning., Alberto J. De Armendi, Amir L. Butt, Kathryn M.L Konrad, Mohanad Shukry, Edmund A. Marek Ii

Graduate Medical Education Research Journal

Introduction: Healthcare student acceptance into graduate and professional school is based on Grade Point Average (GPA), Graduate Record Examination (GRE) scores, interviews, and letters of recommendation, but not on cognition levels. However, educators need to understand students’ cognitive levels to facilitate constructivist learning theory and inquiry-based learning. The aim of this study is to understand the influence of cognition in healthcare students through the administration of the Classroom Test of Scientific Reasoning (CTSR).

Methods: Medical and baccalaureate nursing students were enrolled to answer demographic questions and complete the CTSR. The CTSR rubric score were used to define four operational cognitive …

Multi-Sensor Data Fusion And Gis-Drastic Integration For Groundwater Vulnerability Assessment With Rainfall Consideration, Wu Jiazhe, Dai Xinrui, Su Yangcheng, Zheng Xiangtian, Bushra Ghaffar, Rabiya Nasir, Ahsan Jamil, Zeeshan Zafar, Mohammad Suhail Meer, M. Abdullah-Al-Wadud, Rahila Naseer, Hesham El-Askary

Mathematics, Physics, and Computer Science Faculty Articles and Research

In many areas of the world, particularly in arid and semi-arid regions, groundwater is the primary source of fresh water, and it supplies around one-third of the world's fresh water. Agriculture is the primary economic sector on the coast in the southern district (Nowshera). More food productivity is required due to the expanding population and diminishing agricultural lands, which increases the use of chemical pesticides and fertilizers in farming. The current study was conducted in northwestern parts of Pakistan to evaluate the impacts of the frequent use of pesticides and fertilizers in agricultural fields. Nine hydrogeological parameters were considered, and …

Navigating Wound Closure Strategies: Primary Closure Vs. Delayed Primary Closure In Digestive Surgery—A Systematic Review And Meta-Analysis On Surgical Site Infections, Lam Sihardo, Arnetta Nl Lalisang, Afid B. Putra, Bagus A. Suryawiditya

The New Ropanasuri Journal of Surgery

Introduction. Surgical site infection (SSI) is a significant concern following digestive surgery, with varying incidence rates based on wound contamination levels. The choice between Primary Closure (PC) and Delayed Primary Closure (DPC) impacts SSI occurrence, making it essential to evaluate their comparative effectiveness. DPC is hypothesized superior to PC to prevent SSI or wound infection after a contaminated abdominal surgery.

Methods. This systematic review study was carried out through PubMed, Scopus, and Cochrane (CENTRAL). Quality was assessed using Risk of Bias (ROB-2) tool. All results were summarized, and quantitative analysis was performed using a random-effect model. This study …

Surgical Delay-Associated Mortality Risk Varies By Subtype In Loco-Regional Breast Cancer Patients In Seer-Medicare, Macall Leslie Salewon, Rashmi Pathak, William Dooley, Ronald Squires, Hallgeir Rui, Inna Chervoneva, Takemi Tanaka

Department of Pharmacology, Physiology, and Cancer Biology Faculty Papers

Substantial evidence supports that delay of surgery after breast cancer diagnosis is associated with increased mortality risk, leading to the introduction of a new Commission on Cancer quality measure for receipt of surgery within 60 days of diagnosis for non-neoadjuvant patients. Breast cancer subtype is a critical prognostic factor and determines treatment options; however, it remains unknown whether surgical delay-associated breast cancer-specific mortality (BCSM) risk differs by subtype. This retrospective cohort study aimed to assess whether the impact of delayed surgery on survival varies by subtype (hormone [HR] + /HER2 -, HR -/HER2 -, and HER2 +) in patients with …

Self-Compassion And Peer Social Support: Do They Influence Self-Efficacy In Career Decision Making Of Generation Z Students?, Wildan Madani, Helli Ihsan, Farhan Zakariyya

Jurnal Kajian Bimbingan dan Konseling

This study aims to determine the effect of self-compassion and peer social support on career decision-making self-efficacy (CDMSE) among Generation Z college students in Indonesia. This study uses quantitative methods with a regression analysis approach. Sampling was conducted using non-probability sampling techniques with an accidental sampling approach. This study involved 367 active college students from Generation Z, aged 18-24, residing or studying in the metropolitan area of Greater Bandung. Greater Bandung was chosen as the research location because it represents the characteristics of Generation Z in Indonesia. The city is a center of education and culture with diverse higher education …

Exploring The Impact Of Self-Control, Motivation, And Resilience On Students' Self-Compassion, Diani Akmalia Apsari, Adi Atmoko, Ika Andrini Farida, Nur Eva, Augusto Da Costa, Aidah Fuadiyah

Jurnal Kajian Bimbingan dan Konseling

The core purpose of Pendidikan Profesi Guru Prajabatan (PPG) is to educate prospective teachers to become professional teachers. To achieve this goal, students requires psychological abilities when facing challenges such as dense and demanding tasks based on the curriculum that must be completed in 2 semesters. This study aims to (1) test the theoretical model of regression of self-compassion, and (2) determine the contribution of self-control, motivation, and resilience to self-compassion in PPG students. This study used a causal relationship design. Data were collected with (1) Brief Self Control Scale, (2) The Academic Motivation Scale, (3) The Connor-Davidson Resilience Scale, …

High-Intensity Focused Ultrasound Ablation For Primary Or Salvage Prostate Cancer Therapy: Initial Outcomes In The Veteran Healthcare Setting, Sagar Patel, Ali Antar, Aly Alrabaa, Gal Saffati, Broderick Fleming, Neel Srikishen, Jeremy Slawin, Jennifer Taylor, Jeffrey Jones

Faculty, Staff and Students Publications

High-Intensity Focused Ultrasound (HIFU) provides comparable oncologic, erectile, and urinary outcomes to standard-of-care options for localized prostate cancer. This study reports the largest United States series of HIFU in veterans for both primary and salvage therapies. We retrospectively analyzed the outcomes of 43 veterans treated at the Michael E. DeBakey Veterans Affairs Medical Center from 2018 to 2022. Primary endpoints included prostate-specific antigen (PSA) reduction and local recurrence rates. Secondary endpoints included 30-day complications, Sexual Health Inventory for Men (SHIM), and American Urological Association Symptom Score (AUASS). In our study, 31 veterans (72.1%) received primary treatment and 12 (27.9%) received …

Association Of Socio-Demographic Profile And The Underlying Risk Factors Of Hypertension Among The Locals Of Prosperidad, Agusan Del Sur, Philippines, Florence Jhun F. Almadin

Chulalongkorn Medical Journal

Background: Hypertension is a leading risk factor for cardiovascular diseases, including heart disease and stroke, which are significant causes of morbidity and mortality worldwide. Its prevalence varies across regions and is influenced by genetic, environmental, and lifestyle factors.

Objectives: This study aimed to determine the socio-demographic profile, the prevalence of hypertension, and the risk factors and associate these with the prevalence of hypertension in Prosperidad, Agusan del Sur.

Methods: Data was gathered via a survey of respondents aged 25-75 from November 2022. Multivariate logistic regression was used to determine the association between the sociodemographic profile and the risk factors for …

Stereotactic Cardiac Radiotherapy For Refractory Ventricular Tachycardia In Structural Heart Disease Patients: A Systematic Review, Amulya Gupta, Zeeshan Sattar, Nourhan Chaaban, Sagar Ranka, Cameron Carlson, Farhad Sami, Clifford G Robinson, Phillip S Cuculich, Seth H Sheldon, Madhu Reddy, David Akhavan, Amit Noheria

2020-Current year OA Pubs

AIMS: Among patients with structural heart disease with ventricular tachycardia (VT) refractory to medical therapy and catheter ablation, cardiac stereotactic body radiotherapy (SBRT) is a paradigm-changing treatment option. This study aims to assess the efficacy of cardiac SBRT in refractory VT by comparing the rates of VT episodes, anti-tachycardia pacing (ATP) therapies, and implantable cardioverter-defibrillator (ICD) shocks post-SBRT with pre-SBRT.

METHODS AND RESULTS: We performed a comprehensive literature search and included all clinical studies reporting outcomes on cardiac SBRT for VT. Treatment efficacy was evaluated as random-effects pooled rate-ratios of VT episodes, ATP therapies and ICD shocks post-SBRT (after 6-week …

Effects Of Missing Data Imputation Methods On Univariate Blood Pressure Time Series Data Analysis And Forecasting With Arima And Lstm, Nicholas Niako, Jesus D. Melgarejo, Gladys E. Maestre, Kristina Vatcheva

School of Mathematical & Statistical Sciences Faculty Publications

Background: Missing observations within the univariate time series are common in real-life and cause analytical problems in the flow of the analysis. Imputation of missing values is an inevitable step in every incomplete univariate time series. Most of the existing studies focus on comparing the distributions of imputed data. There is a gap of knowledge on how different imputation methods for univariate time series affect the forecasting performance of time series models. We evaluated the prediction performance of autoregressive integrated moving average (ARIMA) and long short-term memory (LSTM) network models on imputed time series data using ten different imputation techniques. …

Immune Checkpoint Inhibitor-Associated Cutaneous Adverse Events: Mechanisms Of Occurrence, Abdulaziz M. Eshaq, Thomas W. Flanagan, Abdulqader A. Ba Abbad, Zain Alabden A. Makarem, Mohammed S. Bokir, Ahmed K. Alasheq, Sara A. Al Asheikh, Abdullah M. Almashhor, Faroq Binyamani, Waleed A. Al-Amoudi, Abdulaziz S. Bawzir, Youssef Haikel, Mossad Megahed, Mohamed Hassan

School of Medicine Faculty Publications

Immunotherapy, particularly that based on blocking checkpoint proteins in many tumors, including melanoma, Merkel cell carcinoma, non-small cell lung cancer (NSCLC), triple-negative breast (TNB cancer), renal cancer, and gastrointestinal and endometrial neoplasms, is a therapeutic alternative to chemotherapy. Immune checkpoint inhibitor (ICI)-based therapies have the potential to target different pathways leading to the destruction of cancer cells. Although ICIs are an effective treatment strategy for patients with highly immune-infiltrated cancers, the development of different adverse effects including cutaneous adverse effects during and after the treatment with ICIs is common. ICI-associated cutaneous adverse effects include mostly inflammatory and bullous dermatoses, as …

An Ontology-Based Approach For Understanding Appendicectomy Processes And Associated Resources, Nadeesha Pathiraja Rathnayaka Hitige, Ting Song, Steven J Craig, Kimberley J Davis, Xubing Hao, Licong Cui, Ping Yu

Faculty, Staff and Student Publications

Background: Traditional methods for analysing surgical processes often fall short in capturing the intricate interconnectedness between clinical procedures, their execution sequences, and associated resources such as hospital infrastructure, staff, and protocols.

Aim: This study addresses this gap by developing an ontology for appendicectomy, a computational model that comprehensively represents appendicectomy processes and their resource dependencies to support informed decision making and optimise appendicectomy healthcare delivery.

Methods: The ontology was developed using the NeON methodology, drawing knowledge from existing ontologies, scholarly literature, and de-identified patient data from local hospitals.

Results: The resulting ontology comprises 108 classes, including 11 top-level classes and …

Determination Of The Kinetic Parameters Of Cholesterol Oxidation Using Cholesterol Oxidase From Streptomyces Sp., Meka Saima Perdani, Heri Hermansyah, Muhamad Sahlan, Dwini Normayulisa Putri, Teguh Pambudi, Anggi Khairina Hanum Hasibuan

Makara Journal of Technology

Cholesterol oxidase (CO) was successfully produced from Streptomyces sp. via the submerged fermentation method, and 69 U/mL enzyme activity was obtained. This study aimed to determine cholesterol oxidation kinetics and the production of CO as a catalyst. The enzyme was diluted to 0.15, 0.075, and 0.00375 U/mL for the oxidation reaction. The substrate was also prepared in three concentrations: 3.23, 6.46, and 12.93 mM. The optimization of conditions for enzymatic cholesterol oxidation was investigated through measurement of the effect of initial cholesterol and enzyme concentrations. Cholesterol concentration was rapidly measured via high-performance liquid chromatography (HPLC). The kinetics of CO were …

Increasing Youth Engagement In Community Heritage And Social Justice Through Implementation Of A Youth Participatory Empowerment Model, Jancarlos Wagner-Romero, Mary Gillis, Lindsay Clemens, Amanda J. Dworak Rowland, Curlinda Mitchell-Blacksheep, Melanie Canaday-Talley

Journal of Multicultural Affairs

Youth in traditionally marginalized communities are often the target of policies and practices without the opportunity to provide input. This article highlights effective strategies to empower youth to become active participants in their communities. Using a Youth Participatory Empowerment Model (YPEM), youth participants from six demographically distinct communities engaged in YPEM-supported activities and strategies to identify and address a need within their community. To gain insight into successful strategies, qualitative data from pre and post implementation focus group interviews and observational field notes informed the conclusions. The participant youth represent tribal, undocumented, rural, suburban, and urban youth from underserved populations. …

Editorial: Artificial Intelligence For Smart Health: Learning, Simulation, And Optimization, Bing Yao, Nathan Gaw, Hyo Kyung Lee

Faculty Publications

With rapid developments in medical sensing and imaging, we now live in an era of data explosion in which large amounts of data are readily available in clinical environments. The fast-growing biomedical and healthcare data provide unprecedented opportunities for data-driven scientific knowledge discovery and clinical decision support. Our Research Topic aims to catalyze synergies among biomedical informatics, machine learning, computer simulation, operations research, systems engineering, and other related fields with three specific goals: (1) develop cutting-edge data-driven models to accelerate scientific knowledge discovery in biomedicine using healthcare data collected from laboratory systems, imaging systems, and medical and sensing devices; (2) …

Measurement Of Breast Artery Calcification Using An Artificial Intelligence Detection Model And Its Association With Major Adverse Cardiovascular Events, Suzanne Rose, Josette Hartnett, Zachary Estep, Daniyal Ameen, Shweta Karki, Edward Schuster, Rebecca Newman, David Hsi

Department of Medicine Faculty Papers

Breast artery calcification (BAC) obtained from standard mammographic images is currently under evaluation to stratify risk of major adverse cardiovascular events in women. Measuring BAC using artificial intelligence (AI) technology, we aimed to determine the relationship between BAC and coronary artery calcification (CAC) severity with Major Adverse Cardiac Events (MACE). This retrospective study included women who underwent chest computed tomography (CT) within one year of mammography. T-test assessed the associations between MACE and variables of interest (BAC versus MACE, CAC versus MACE). Risk differences were calculated to capture the difference in observed risk and reference groups. Chi-square tests and/or Fisher's …

Importance Of The Hemoglobin Glycation Index For Risk Of Cardiovascular And Microvascular Complications And Mortality In Individuals With Type 2 Diabetes (Endocrinol Metab 2024;39:732-47, Claudia Regina Lopes Cardoso Et Al.), Stuart A. Chalew

School of Medicine Faculty Publications

No abstract provided.