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DTSTART;TZID=America/New_York:20260507T120000
DTEND;TZID=America/New_York:20260507T130000
DTSTAMP:20260531T021444
CREATED:20260422T194653Z
LAST-MODIFIED:20260422T202413Z
UID:7478-1778155200-1778158800@www.de-ctr.org
SUMMARY:Tech Talk: Exploring the NIH All of Us Research Program
DESCRIPTION:Thursday May 7\, 2026 from 12:00-1:00pm\nVirtual Teams Presentation \nThe NIH All of Us Research Program is a large and long-term effort to enroll over one million people across the United States to build a diverse health database. This presentation introduces the All of Us Researcher Workbench and highlights the program’s unique strengths\, including its diverse participant population and rich longitudinal multi-modal data spanning clinical\, genomic\, and social factors. We will also showcase how these data can be leveraged with AI-driven approaches to predict disease risk\, identify high-risk individuals\, and support more precise healthcare interventions. Key challenges will be highlighted along with the potential impact of this resource on future translational research. \nMeet the Speaker\n \n\n\nCagri Ozdemir\, PhD\nSenior Data Scientist\,Delaware State Universitycozdemir@desu.edu \nCagri Ozdemir\, PhD\, is a Senior Data Scientist in the Department of Public and Allied Health Sciences at Delaware State University and a CTR-ACCEL researcher. He served as a mentor for the NIH All of Us Research Scholar Program in 2024. His research focuses on developing biologically informed computational models to understand disease heterogeneity\, progression\, and predict clinical outcomes. His work bridges molecular biology and clinical outcomes through interpretable and scalable computational frameworks that support precision and translational medicine. \n\n\n \n\n \nMicrosoft TeamsJoin the meeting nowMeeting ID: 278 916 651 962 93Passcode: f2k4WX6a \n\n  \nDial in by phone+1 302-483-7154\,\,651707920# United States\, WilmingtonFind a local numberPhone conference ID: 651 707 920# \n  \nTo receive instructions on obtaining (1) CME credit for attendance\, please RSVP to Debra.Reese@ChristianaCare.org. \n\n\n\nWork supported by an Institutional Development Award (IDeA) from the National Institute of General Medical Sciences of the National Institutes of Health under grant number U54-GM104941 (PI:Hicks) and the State of Delaware.
URL:https://www.de-ctr.org/event/tech-talk-exploring-the-nih-all-of-us-research-program/
LOCATION:Microsoft Teams
CATEGORIES:Tech Talk Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20260409T120000
DTEND;TZID=America/New_York:20260409T130000
DTSTAMP:20260531T021444
CREATED:20260318T190004Z
LAST-MODIFIED:20260320T120848Z
UID:7228-1775736000-1775739600@www.de-ctr.org
SUMMARY:Tech Talk: Leveraging Natural Language Processing (NLP) to Uncover Insights from Hospital Patient Feedback: Transforming patient comments into actionable improvements using AI
DESCRIPTION:Thursday April 9\, 2026 from 12:00-1:00pm\nVirtual Teams Presentation \nLeveraging a structured\, AI‑driven methodology\, this work applied advanced Natural Language Processing (NLP) to more than 40\,000 free‑text patient comments\, transforming raw narratives into meaningful insights across seven focused improvement initiatives: sleeping\, cleanliness\, linens\, noise from roommates\, temperature control\, bed comfort\, and hospital‑acquired pressure injuries. Through sentiment analysis\, thematic modeling\, and rule‑based classification\, the methodology opened the black box of patient feedback\, enabling clinical and operational teams to understand not only what patients were saying\, but why issues were occurring and where they were most pronounced.   \nBy converting unstructured comments into clear themes\, campus‑specific and unit‑level patterns\, and evidence‑based priorities\, this work provided leaders with the clarity needed to target improvements where they would have the greatest impact. It now supports patient‑experience committees\, in driving focused\, data‑informed enhancements that elevate the quality\, comfort\, and overall experience of care across ChristianaCare. \nMeet the Speaker\n \n\n\nOdai Dweekat\, PhD \nSenior Data Scientist\,ChristianaCare \nDr. Odai Y. Dweekat is a Senior Data Scientist at ChristianaCare\, specializing in AI-driven healthcare innovation.  With over a decade of experience in machine learning and advanced analytics\, he leads initiatives that improve clinical outcomes and operational efficiency.  His work includes predictive modeling for AKI\, HAPI\, cancer readmission\, and patient experience analysis using NLP.  Dr. Dweekat holds a PhD in industrial and systems engineering from SUNY Binghamton and a MSc in operations management from the University of Birmingham.  He is a published researcher and frequent presenter at national conferences. \n\n\n \n\n \nMicrosoft TeamsJoin the meeting nowMeeting ID: 238 738 836 336 38Passcode: Qu6N4Xx6 \n\n\n \n\nDial in by phone \n+1 302-483-7154\,\,651112315# United States\, WilmingtonFind a local numberPhone conference ID: 651 112 315#\n \n\nTo receive instructions on obtaining (1) CME credit for attendance\, please RSVP to Debra.Reese@ChristianaCare.org. \n  \n\n\n\nWork supported by an Institutional Development Award (IDeA) from the National Institute of General Medical Sciences of the National Institutes of Health under grant number U54-GM104941 (PI:Hicks) and the State of Delaware.
URL:https://www.de-ctr.org/event/tech-talk-leveraging-natural-language-processing-nlp-to-uncover-insights-from-hospital-patient-feedback-transforming-patient-comments-into-actionable-improvements/
LOCATION:Microsoft Teams
CATEGORIES:Tech Talk Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20260305T120000
DTEND;TZID=America/New_York:20260305T130000
DTSTAMP:20260531T021444
CREATED:20260212T152910Z
LAST-MODIFIED:20260212T152910Z
UID:7155-1772712000-1772715600@www.de-ctr.org
SUMMARY:Tech Talk: Systematic Reviews: An Overview and Tips for Conducting a Successful Review
DESCRIPTION:Thursday March 5\, 2026 from 12:00-1:00pm\nVirtual Teams Presentation \n       Systematic Reviews are at the top of the evidence pyramid\, and they don’t require grant funding or a lab coat. You can get started today. Whether you are an experienced reviewer or a beginner to systematic reviews\, you will gain the information you need to not only conduct a systematic review\, but to conduct a better one. Discover the best practices and current guidance\, as well as new changes\, trends\, and expectations for conducting systematic reviews. This presentation will not only share knowledge but will encourage you to get started by finding a topic you care about and being responsible in how you conduct research to ensure the highest quality and safety of the outcomes.  \nMeet the Speaker\n \n\n\nStephanie Roth\, MLIS \nMedical Librarian\, ChristianaCare \nStephanie Roth is a Medical Librarian with diverse experience and training in medical research\, health sciences libraries\, teaching\, and communication. Her publications include a book chapter\, “Teaching the Review Process” in Piecing Together Systematic Reviews and Other Evidence Syntheses\, and a chapter on developing evidence synthesis protocols. In addition\, she has published several works such as\, “Transforming the Systematic Review Service: A Team-Based Model to Support the Educational Needs of Researchers”\, “What is Genomic Medicine”\, “Machine Learning Methods for Systematic Reviews”\, and most recently\, SWiRL-SR (Standards for Working with Research Librarians on Systematic Reviews). \n\n\n \n\n \nMicrosoft TeamsJoin the meeting nowMeeting ID: 233 095 064 601 9Passcode: Xb7Td9gb \n\n\n \n\nDial in by phone    +1 302-483-7154\,\,702761716# United States\, Wilmington \n\n\n\n    Phone conference ID: 702 761 716# \n \n\nTo receive instructions on obtaining (1) CME credit for attendance\, please RSVP to Debra.Reese@ChristianaCare.org. \n  \n\n\n\nWork supported by an Institutional Development Award (IDeA) from the National Institute of General Medical Sciences of the National Institutes of Health under grant number U54-GM104941 (PI:Hicks) and the State of Delaware. \n\n\n  \nView flyer here
URL:https://www.de-ctr.org/event/tech-talk-systematic-reviews-an-overview-and-tips-for-conducting-a-successful-review/
LOCATION:Microsoft Teams
CATEGORIES:Tech Talk Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20251106T120000
DTEND;TZID=America/New_York:20251106T130000
DTSTAMP:20260531T021444
CREATED:20251027T135010Z
LAST-MODIFIED:20251027T135010Z
UID:6897-1762430400-1762434000@www.de-ctr.org
SUMMARY:Tech Talk: How AI and Data Science are Being Implemented at ChristianaCare: Case Studies
DESCRIPTION:Thursday November 6\, 2025 from 12:00-1:00pm\nVirtual Teams Presentation \nThis presentation explores how AI and data science are being actively implemented at ChristianaCare to drive innovation\, improve patient outcomes\, and enhance operational efficiency. Through a series of real-world case studies\, attendees will gain insight into the practical application of machine learning\, natural language processing\, forecasting\, and statistical modeling across diverse healthcare challenges. Projects include predictive models for post-operative kidney injury\, maternal discharge delays\, patient experience analysis\, HAPI prediction\, baby delivery forecasting\, and more. The talk will highlight both deployed and in-development solutions\, showcasing measurable impact and lessons learned. \nMeet the Speaker\n \n\n\nOdai Dweekat\, PhD  \nSenior Data ScientistChristianaCare \nDr. Odai Y. Dweekat is a Senior Data Scientist at ChristianaCare\, specializing in AI-driven healthcare innovation. With over a decade of experience in machine learning and advanced analytics\, he leads initiatives that improve clinical outcomes and operational efficiency. His work includes predictive modeling for AKI\, HAPI\, cancer readmission\, and patient experience analysis using NLP. Dr. Dweekat holds a PhD in industrial and systems engineering from SUNY Binghamton and a MSc in operations management from the University of Birmingham. He is a published researcher and frequent presenter at national conferences. \n\n\n \n\n \nMicrosoft TeamsJoin the meeting nowMeeting ID: 232 449 381 449Passcode: Py7Q8s4b \n\n\n \nDial in by phone+1 302-483-7154\,\,512631687# United States\, WilmingtonFind a local number \n \n\nTo receive instructions on obtaining (1) CME credit for attendance\, please RSVP to Debra.Reese@ChristianaCare.org. \n  \n\n\n\nWork supported by an Institutional Development Award (IDeA) from the National Institute of General Medical Sciences of the National Institutes of Health under grant number U54-GM104941 (PI:Hicks) and the State of Delaware. \n\n\n  \nView flyer here
URL:https://www.de-ctr.org/event/tech-talk-ai-and-data-science-at-christianacare/
LOCATION:Microsoft Teams
CATEGORIES:Tech Talk Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20251002T120000
DTEND;TZID=America/New_York:20251002T130000
DTSTAMP:20260531T021444
CREATED:20250930T125608Z
LAST-MODIFIED:20250930T125801Z
UID:6797-1759406400-1759410000@www.de-ctr.org
SUMMARY:Tech Talk: Meta Data Analysis
DESCRIPTION:Thursday October 2\, 2025 from 12:00-1:00pm\nVirtual Teams Presentation \nMeta-Data Analysis is a powerful statistical method that synthesizes findings across multiple studies to derive more precise and generalizable estimates of treatment effects. In addition to pooling odds ratios to evaluate categorical outcomes\, this method also enables estimation of continuous outcomes—such as mean changes and their confidence intervals—across diverse study populations. Meta-analysis increases statistical power\, enhances clinical interpretability\, and allows quantification of heterogeneity using metrics like I² and τ². This talk provides a comprehensive overview of meta-analytic techniques\, including data preparation\, calculation of pooled estimates for both binary and continuous outcomes\, exploration of subgroup effects\, and interpretation of results using forest plots and summary tables. Drawing from recent real-world comparative effectiveness studies in medicine and public health\, this session will illustrate how incorporating newly available studies can update pooled evidence\, and how summary findings can directly inform clinical decision-making and health policy evaluation.  \nMeet the Speaker\n \n\n\nZugui Zhang\, PhD \nDirector of BiostatisticsChristiana Care Health Systems \nDr. Zugui Zhang is director of biostatistics at iREACH\, ChristianaCare and Fellow of American Heart Association. He received an MS in statistics from Arizona State University and his PhD in biostatistics from the University of Iowa. He joined ChristianaCare in 2007 and has been Director of Biostatistics since 2017. He holds appointments as Affiliated Professor of Biostatistics at the University of Delaware and Thomas Jefferson University. He has worked extensively on large\, international\, multi-center\, randomized clinical trials and observational studies. \n\n\n \n\n \nMicrosoft TeamsJoin the meeting nowMeeting ID: 260 254 371 463Passcode: 5tL3rC9q \n\n\n \nDial in by phone+1 302-483-7154\,\,560603931# United States\, WilmingtonFind a local number \n \n\nTo receive instructions on obtaining (1) CME credit for attendance\, please RSVP to Debra.Reese@ChristianaCare.org. \n  \n\n\n\nWork supported by an Institutional Development Award (IDeA) from the National Institute of General Medical Sciences of the National Institutes of Health under grant number U54-GM104941 (PI:Hicks) and the State of Delaware.
URL:https://www.de-ctr.org/event/tech-talk-meta-data-analysis/
LOCATION:Microsoft Teams
CATEGORIES:Tech Talk Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20250403T120000
DTEND;TZID=America/New_York:20250403T130000
DTSTAMP:20260531T021444
CREATED:20250320T081717Z
LAST-MODIFIED:20250320T081717Z
UID:6447-1743681600-1743685200@www.de-ctr.org
SUMMARY:Tech Talk: Data linkages for pharmacoepidemiology:   Case study on effects of shingles vaccination in older adults
DESCRIPTION:Thursday April 3\, 2025 from 12:00-1:00pm\nVirtual Teams Presentation \nIn April’s TechTalk\, Daniel Harris\, Ph.D.\, will describe how he links and uses large health administrative datasets to conduct pharmacoepidemiologic studies. His presentation will be focused on insights from an industry-funded grant to investigate the real-world effectiveness of the recombinant herpes zoster vaccine in nursing home residents. By the end of his presentation\, you will be familiar with health administrative data sources in the US\, methods for data linkages\, and advanced causal inference strategies in pharmacoepidemiology. \nMeet the Speaker\n \n\n\nDaniel Harris\, Ph.D.Assistant Professor\, EpidemiologyUniversity of Delaware \nDaniel Harris\, Ph.D. is an assistant professor of epidemiology at the University of Delaware.  As a pharmacoepidemiologist\, Dr. Harris’s research focuses on the use\, safety\, and effectiveness of drugs and vaccines among older adults \n\n\n \n\nMicrosoft Teams \nJoin the meeting nowMeeting ID: 260 254 371 463Passcode: 5tL3rC9q \n\nDial in by phone \n+1 302-483-7154\,\,959034717# United States\, WilmingtonFind a local numberPhone conference ID: 959 034 717# \n\n\n\nWork supported by an Institutional Development Award (IDeA) from the National Institute of General Medical Sciences of the National Institutes of Health under grant number U54-GM104941 (PI:Hicks) and the State of Delaware.
URL:https://www.de-ctr.org/event/tech-talk-data-linkages-for-pharmacoepidemiology-case-study-on-effects-of-shingles-vaccination-in-older-adults/
LOCATION:Microsoft Teams
CATEGORIES:Tech Talk Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20250306T120000
DTEND;TZID=America/New_York:20250225T130000
DTSTAMP:20260531T021444
CREATED:20250225T170021Z
LAST-MODIFIED:20250225T205940Z
UID:6407-1741262400-1740488400@www.de-ctr.org
SUMMARY:Tech Talk: Integrating Multiscale modeling and Machine Learning In Computational Medicine
DESCRIPTION:Thursday March 6\, 2025 from 12:00-1:00pm\nVirtual Teams Presentation \nComputational models have revolutionized our understanding of complex biological systems. These models typically fall into two categories: multiscale models and machine learning models. Multiscale models\, grounded in the fundamental principles of physics and chemistry\, can dissect the intricate causalities in disease progression. In parallel\, machine learning models\, based on rich datasets\, have yielded unique insights into complex pattern recognition within these systems. \nIn this talk\, Dr. Deng will demonstrate how multiscale models are developed to probe disease-mediated changes in blood dynamics. She will also show how various machine learning models\, with a focus on deep learning\, are designed to enhance accurate prediction\, optimize treatment plans\, and distill extensive knowledge of different diseases. \nTo conclude\, she will discuss the pivotal factors—such as age and sex—that are critical to customizing treatments in the realm of precision medicine\, and to synergistically integrate multiscale modeling with machine learning to enable the design of more comprehensive personalized medicine. \nMeet the Speaker\n  \n\n\nYixiang Deng\, Ph.D.\nAssistant Professor\, Computer & Information Sciences University of Delaware \nYixiang Deng is an assistant professor at the University of Delaware in the Department of Computer and Information Sciences.  She has worked  as a Postdoctoral Fellow at the Ragon Institute of Mass General\, MIT\, and Harvard\, with a joint appointment at the MIT Department of Biological Engineering.  Her research focuses on integrating multiscale modeling and machine learning to probe the mechanisms of diseases and the effectiveness  of therapeutics. Before joining the Ragon Institute\, she completed her Ph.D. in the School of Engineering at Brown University in 2021 and a B.Eng. degree in Engineering Mechanics at Shanghai Jiao Tong University. \n\n\n \n\nMicrosoft TeamsJoin the meeting nowMeeting ID: 230 763 563 409Passcode: pY269cz7 \n\nDial in by phone+1 302-483-7154\,\,815866681# United States\, WilmingtonFind a local numberPhone conference ID: 815 866 681# \n\n\n\nPlease RSVP to Debra.Reese@ChristianaCare.org Include your name\, email address\, and institution/organization.  We will provide instructions on obtaining CME credit for attendance. \nWork supported by an Institutional Development Award (IDeA) from the National Institute of General Medical Sciences of the National Institutes of Health under grant number U54-GM104941 (PI:Hicks) and the State of Delaware.
URL:https://www.de-ctr.org/event/tech-talk-integrating-multiscale-modeling-and-machine-learning-in-computational-medicine/
LOCATION:Microsoft Teams
CATEGORIES:Tech Talk Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20241107T120000
DTEND;TZID=America/New_York:20241107T130000
DTSTAMP:20260531T021444
CREATED:20241023T122904Z
LAST-MODIFIED:20241023T122904Z
UID:6144-1730980800-1730984400@www.de-ctr.org
SUMMARY:Tech Talk: Using Cross-Classified Multilevel Models To Estimate The Impact Of Patient-Level Risk Factors And Time-Varying Hospital Until On Healthcare-Associated Clostridioides Difficile Infection
DESCRIPTION:Thursday November 7\, 2024 from 12:00-1:00pm\nVirtual Teams Presentation \nThe use of multilevel modeling in epidemiology allows health researchers to examine how a person’s physical or socially constructed environment may influence their health exposures or disease occurrence. This TechTalk will provide an overview of how multilevel modeling can be used in epidemiologic research in a clinical setting. A traditional example of a multilevel data structure considers how a person’s health may be influenced by their neighborhood or place of residence. In an inpatient setting\, we can consider how a patient’s health status may be influenced by their physical environment\, such as their room\, unit\, or hospital. We will walk through an example of this method using data from a case-control study of ChristianaCare patients\, evaluating patient-level risk factors for Clostridioides difficile infection\, accounting for the patient’s physical environment throughout their hospitalization. Challenges in conducting research in this setting will be discussed and analytic solutions proposed. \nMeet the Speaker\n   \n\n\nJessica Webster\, PhD\, MPH\nCenter for Health Care Quality\, HealthcareAssociated Infections ProgramCalifornia Dept of Public HealthLos Angeles\, CA \nJessica Webster is an epidemiologist with research interests in infectious diseases (particularly healthcare-associated infections) and epidemiologic methods. She received her PhD in Epidemiology from Drexel University’s Dornsife School of Public Health in 2024\, where her dissertation work focused on exploring challenges in exposure characterization for healthcare-associated infections such as Clostridioides difficile. Jessica is currently working at the California Department of Public Health as an Antimicrobial Stewardship Epidemiologist. \n\n\n \nMicrosoft TeamsJoin the meeting nowMeeting ID: 283 724 980 920Passcode: dAFUdV\nDial in by phone+1 302-483-7154\,\,485722297# United States\, WilmingtonFind a local numberPhone conference ID: 485 722 297# \n\n\n\nPlease RSVP to Debra.Reese@ChristianaCare.org Include your name\, email address\, and institution/organization.  We will provide instructions on obtaining CME credit for attendance. \nWork supported by an Institutional Development Award (IDeA) from the National Institute of General Medical Sciences of the National Institutes of Health under grant number U54-GM104941 (PI:Hicks) and the State of Delaware.
URL:https://www.de-ctr.org/event/tech-talk-using-cross-classified-multilevel-models-to-estimate-the-impact-of-patient-level-risk-factors-and-time-varying-hospital-until-on-healthcare-associated-clostridioides-difficile-infection/
LOCATION:Microsoft Teams
CATEGORIES:Tech Talk Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240801T120000
DTEND;TZID=America/New_York:20240801T130000
DTSTAMP:20260531T021444
CREATED:20240709T163552Z
LAST-MODIFIED:20240709T165017Z
UID:5967-1722513600-1722517200@www.de-ctr.org
SUMMARY:Tech Talk: Expanding aiNsect’s Data Footprint for Equitable Health Outcomes In Our Lifetime
DESCRIPTION:Fruit flies have been used as model organisms for over 100 years. As a result\, there exists a wealth of information on their genetic\, neural\, behavioral\, and physiological characteristics. With modern technology these data types can be processed toward a general synthesis of biological understanding\, allowing rapid testing\, and understanding of human biology without the need for human subjects. aiNsect is a next-generation artificial intelligence that aims to facilitate the translation of basic biological research with fruit flies into meaningful outcomes for equitable human health. In this talk\, Chase Stratton\, PhD\, Delaware State University\, will cover the general approach he is taking to develop and train aiNsect’s digital brain\, the data that it will process\, and the potential of its applications. \nMeet the Speaker\n   \n\n\nChase Stratton\, PhDAssistant Professor\, BiologyDelaware State University\nMy research background is in sustainable pest management and data science. I study ways to manipulate agricultural settings with natural products\, that reduce insect pest presence or damage with minimal environmental impacts. I am generally interested in plant-insect-microbe interactions\, chemical ecology\, bioinformatics (specifically in the realm of plant phylogenies)\, cheminformatics\, and writing code to assist in complex analyses. As the director of the Data Science Research and Education Hub at DSU Downtown\, I am expanding the machine learning infrastructure available to DSU faculty and students and will provide training opportunities for anyone interested in exploring high-performance computing in their research.\n\n \nMicrosoft TeamsJoin the meeting nowMeeting ID: 262 549 558 701Passcode: AikkikDial-in by phone+1 302-483-7154\,\,474430086# United States\, WilmingtonFind a local numberPhone conference ID: 474 430 086#For organizers: Meeting options | Reset dial-in PIN\n \n \n\n\nPlease RSVP to Debra.Reese@ChristianaCare.org Include your name\, email address\, and institution/organization.  We will provide instructions on obtaining CME credit for attendance. \nWork supported by an Institutional Development Award (IDeA) from the National Institute of General Medical Sciences of the National Institutes of Health under grant number U54-GM104941 (PI:Hicks) and the State of Delaware.
URL:https://www.de-ctr.org/event/tech-talk-expanding-ainsects-data-footprint-for-equitable-health-outcomes-in-our-lifetime/
LOCATION:Microsoft Teams
CATEGORIES:Tech Talk Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240606T120000
DTEND;TZID=America/New_York:20240606T130000
DTSTAMP:20260531T021444
CREATED:20240514T120502Z
LAST-MODIFIED:20240514T120536Z
UID:5841-1717675200-1717678800@www.de-ctr.org
SUMMARY:Tech Talk: Multivariate Analysis for Investigators
DESCRIPTION:Multivariable analysis refers to statistical models that incorporate multiple independent or response variables. Such models include several variables on the right side of the equation\, enabling the assessment of relationships between numerous factors while accounting for potential confounders. Multivariate statistics encompasses various forms of analysis tailored to different objectives across numerous fields. These analyses serve several purposes\, such as examining data patterns\, facilitating clear comparisons\, eliminating irrelevant information\, and studying multiple factors simultaneously. Considering a multitude of variables makes multivariate analysis both complex and indispensable. Its greatest strength lies in incorporating as many factors as possible\, which minimizes bias and yields results that closely reflect reality. This presentation will provide an overview of multivariate statistics\, covering the framework\, multivariate regression analysis\, factor component analysis\, and structural equation modeling. \n\n\n\n\n\n\n\n\nMeet the Speaker\nZugui Zhang\, PhD\nDr. Zugui Zhang is director of biostatistics at iREACH\, ChristianaCare and Fellow of American Heart Association. He received an MS in statistics from Arizona State University and his PhD in biostatistics from the University of Iowa.  He joined ChristianaCare in 2007 and has been Director of Biostatistics since 2017.  He holds appointments as Affiliated Professor of Biostatistics at the University of Delaware and Thomas Jefferson University.  He has worked extensively on large\, international\, multi-center\, randomized clinical trials and observational studies.\n\n \nMicrosoft TeamsJoin the meeting nowMeeting ID: 273 131 074 609Passcode: 6m8ucbDial-in by phone+1 302-483-7154\,\,474430086# United States\, WilmingtonFind a local numberPhone conference ID: 474 430 086#For organizers: Meeting options | Reset dial-in PIN\n \n \n\n\nPlease RSVP to Debra.Reese@ChristianaCare.org Include your name\, email address\, and institution/organization.  We will provide instructions on obtaining CME credit for attendance. \nWork supported by an Institutional Development Award (IDeA) from the National Institute of General Medical Sciences of the National Institutes of Health under grant number U54-GM104941 (PI:Hicks) and the State of Delaware.
URL:https://www.de-ctr.org/event/tech-talk-multivariate-analysis-for-investigators/
LOCATION:Microsoft Teams
CATEGORIES:Tech Talk Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240502T120000
DTEND;TZID=America/New_York:20240502T130000
DTSTAMP:20260531T021444
CREATED:20240426T134739Z
LAST-MODIFIED:20240426T135015Z
UID:5792-1714651200-1714654800@www.de-ctr.org
SUMMARY:Tech Talk: Principal Component Analytics for Investigators
DESCRIPTION:In this talk\, we will delve into the fundamentals of PCA\, a powerful statistical technique for dimensionality reduction and data visualization. Discover how PCA can aid in extracting meaningful patterns from complex medical datasets\, facilitating insights into patient diagnostics\, treatment responses\, and disease progression. We’ll explore real-world applications of PCA in medical research\, showcasing its ability to uncover latent relationships among variables\, identify key biomarkers\, and enhance predictive modeling accuracy. Whether you’re a seasoned researcher or a novice in data analysis\, this talk will provide valuable insights into harnessing the potential of PCA to advance medical investigations and improve healthcare outcomes. \n\n\n\n\n\n\n\n\n\n\n\nMeet the Speaker\n\n\n\nKeshab Subedi\, Biostatistician\, ChristianaCare\n\n\nKeshab Subedi works as a Biostatistician in the Institute for Research on Equity and Community Health (iREACH) at ChristianaCare. He has collaborated as biostatistician with physicians and researchers from ChristianaCare and other ACCEL institutions. His collaborative work has been published in several medical journals including JAMA\, JAMA Pediatrics\, American Journal of Preventive Medicine\, and Journal of Clinical and Translational Science.  He holds a Master of Science degree in Biostatistics from Drexel University.\n \n \n\nPlease RSVP to Debra.Reese@ChristianaCare.org Include your name\, email address\, and institution/organization.  We will provide instructions on obtaining CME credit for attendance. \n\n\n\nWork supported by an Institutional Development Award (IDeA) from the National Institute of General Medical Sciences of the National Institutes of Health under grant number U54-GM104941 (PI:Hicks) and the State of Delaware.
URL:https://www.de-ctr.org/event/tech-talk-principal-component-analytics-for-investigators/
LOCATION:Microsoft Teams
CATEGORIES:Tech Talk Series
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