The Clinical Research Methods Webinars are hosted by the UW CLEAR Center and the PM&R Journal. The webinar series focuses on key topics that research investigators, journal editors, and clinicians encounter as they develop and conduct research studies, review research manuscripts, and stay up-to-date on the latest research in their field. All CLEAR Center methods webinars are recorded and archived on the CLEAR Center website.
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Date: Monday, January 10, 2022 ***Note: Rescheduled Talk
Time: 9-10am Pacific / 12-1pm Eastern
Presenter: Meliha Yetisgen, PhD – University of Washington
Title: “Extracting Information from Clinical Narratives for Secondary Use Application”
Date: Monday, January 31, 2022 ***CLEAR Center 2022 Visiting Professor***
Time: 9-10am Pacific / 12-1pm Eastern
Presenter: Patricia D Franklin, MD, MPH, MBA – Northwestern University
Title: “Predictive analytics using clinical and patient-reported data to guide treatment decisions in knee and hip osteoarthritis”
Date: Monday, April 25, 2022
Time: 9-10am Pacific / 12-1pm Eastern
Presenter: Andrew Humbert, PhD – University of Washington
Title: “The p-value: Is it still significant?”
Date: Monday, June 6, 2022
Time: 9-10am Pacific / 12-1pm Eastern
Presenter: Roger Chou, MD – Oregon Health Sciences University
Title: “Evaluating Comparative Effectiveness of Vertebroplasty and Kyphoplasty for Low Back Pain”
Date: Monday, October 17, 2022
Time: 9-10am Pacific / 12-1pm Eastern
Presenter: Kristin Sainani, PhD – Stanford University
Title: “How to Analyze Research Data”
About the Speakers
Dr. Meliha Yetisgen
Meliha Yetisgen, PhD is an Associate Professor in the Department of Biomedical Informatics and Medical Education and Adjunct Associate Professor in the Department of Linguistics at the University of Washington (UW). She leads the UW-BioNLP research group. Before joining the University of Washington, she worked in industry as a researcher. During this period, she designed and developed statistical Natural Language Processing systems for event extraction from various types of text. Dr. Yetisgen has extensive experience in large-scale annotated corpora creation with crowd sourcing and active learning. Her current research specializes on the design and development of text processing systems in the clinical domain for a wide range of secondary use applications. Dr. Yetisgen received her BS degree on Computer Engineering from Bilkent University (Ankara, Turkey) and MS degree on Computer Engineering from Middle East Technical University (Ankara, Turkey). She received her PhD from University of Washington with a thesis on automated hypothesis generation from biomedical literature.
Dr. Patricia D Franklin
Patricia D. Franklin, MD MBA MPH serves as tenured Professor of Medical Social Sciences and MPI for the K12 in Learning Health Systems at the Northwestern University Feinberg School of Medicine. Her career includes leadership in health system quality improvement as well as outcomes research. Dr. Franklin serves as Principal Investigator of the AHRQ P50; FORCE-TJR (2010-2015) for comparative effectiveness research in total joint replacement (TJR). The FORCE-TJR cohort includes 30,000 aging adults in 28 states with knee and hip osteoarthritis who report longitudinal pain and physical function. Collection of 5-year outcomes was recently completed. Franklin’s ongoing research includes a cluster randomized trial of 6000 patients to evaluate tailored predictive outcome reports to inform shared decisions in knee and hip arthritis (PI; PCORI); predictive analytics of real-world physical therapy interventions to achieve optimal TJR outcomes (PI; NIAMS); sociodemographic and geographic predictors of variation in TKR use (coI; NIAMS); pragmatic comparative effectiveness trial of three anti-thrombotic medications in TJR (coI; PCORI); use of opioids following TJR (coI; NIAMS) and cultural adaptation of arthritis assessments for Vietnamese immigrants (coI; NIAMS). For over two decades, Dr. Franklin’s research has designed and implemented diverse methods to capture patient-reported health outcomes from national samples of patients, integrated these data with clinical and administrative data, and transformed data to real-world evidence. Longitudinal patient-reported data augment clinical data to create a learning health system integrating research, healthcare delivery, and quality improvement to improve health outcomes.
Dr. Andrew Humbert
Andrew Humbert, PhD is a biostatistician and Assistant Professor at the University of Washington, Department of Rehabilitation Medicine with 8 years of experience in study design and data analysis in various medical settings. He has conducted analyses from a wide variety of data sources including clinical trials, medical records, survey data, and large data registries and has extensive experience using regression techniques for a wide range of data types including longitudinal, clustered, and survival data. He also provides statistical consulting and collaborates on research conducted by faculty, residents, and graduate level students within the department.
Dr. Roger Chou
Roger Chou, M.D. is a Professor in the Departments of Medicine, and Medical Informatics & Clinical Epidemiology, and Staff Physician in the Internal Medicine Clinic at Oregon Health Sciences University. He has served as Director of the Pacific Northwest Evidence-based Practice Center since 2012. He has conducted and led systematic reviews in a number of areas, including chronic pain and musculoskeletal conditions, screening and prevention, diagnostic testing, and prognosis. Many of his reviews have been used to develop clinical practice guidelines by the American College of Physicians, the US Preventive Services Task Force, the American Pain Society, the Centers for Disease Control and Prevention, and others. He has also conducted methodological research in the conduct of systematic reviews and has led or participated in a number of groups that developed standards for conducting research and systematic reviews. He has served as Director of the American Pain Society clinical guidelines program, a GRADE methodologist for several World Health Organization guidelines, is a member of the Cochrane Back Review Editorial Board, and co-chair of the National Quality Forum Musculoskeletal Standing Committee.
Dr. Kristin Sainani
Kristin Sainani, PhD (née Cobb) is an associate professor at Stanford University. She teaches statistics and writing; works on statistical projects in sports medicine; and writes about health, science and statistics for a range of audiences. She authored the health column Body News for Allure magazine for a decade. She is also the statistical editor for the journal Physical Medicine & Rehabilitation; and she authors a statistics column, Statistically Speaking, for this journal. She teaches the popular Massive Open Online Course (MOOC) Writing in the Sciences on Coursera, and also offers an online medical statistics certificate program through the Stanford Center for Professional Development. She was the recipient of the 2018 Biosciences Award for Excellence in Graduate Teaching at Stanford University.