Weekly Work-In-Progress ASC Practice Session
Practice presentation run for Academic Surgical Congress
Presented by Stanford, Department of Surgery Residents
Stanford University
Monthly Work-In-Progress Session
Presented by:
Amy Li, MD
Postdoctoral Research Fellow
General Surgery, Department of Surgery
Stanford University
Title: “Evaluating Treatment Trends, Care Fragmentation and Outcomes for Pancreatic Cancer in California”
For dial-in instructions, please contact Ana Mezynski at mezynski@stanford.edu
Weekly Work-In-Progress
Presented by:
Cara A. Liebert, MD, FACS
Clinical Instructor (VAPAHCS), General Surgery
Stanford University Medical Center
Dana Lin, MD
Clinical Assistant Professor, General Surgery
Stanford Hospital and Clinics
Stanford Health Care – Valley Care
Title: “ENTRUST: Innovation in Assessment of Surgical Decision-Making.”
For dial-in instructions, please contact Ana Mezynski at mezynski@stanford.edu
Due to President’s Holiday, the Weekly Work In Progress has been canceled. We will resume on February 22, 2021.
Department Chair Dr. Mary Hawn in conjunction with the San Jose Surgical Society hosts the new George B. Armanini Lecture. Dr. Ron Weigel is Chair of the Department of Surgery at the University of Iowa.
Weekly Work-In-Progress
Presented by:
Brooke Gurland, MD
Clinical Professor, General Surgery
Stanford University Medical Center
Title: “App-Based Physical Therapy Coaching for Pelvic Floor Disorders and Stroke Rehabilitation.”
For dial-in instructions, please contact Ana Mezynski at mezynski@stanford.edu
Weekly Work-In-Progress
Presented by:
Tom Handley, MD
Knight-Hennessy Scholar
Stanford University
Title: Cost-effectiveness of Dapagliflozin for Non-Diabetic Chronic Kidney Disease
Bio: Tom Handley is an MD from the UK. He is a Knight-Hennessy Scholar studying for a master’s degree in Health Policy, with specific interests in transplant policy and optimization.
For dial-in instructions, please contact Ana Mezynski at mezynski@stanford.edu
Presented by:
Chuck Huber, PhD
Director of Statistical Outreach, StataCorp
Adjunct Associate Professor of Biostatistics
Texas A&M School of Public Health
This curriculum is designed to support beginner, intermediate, and advanced “Stata” users. The courses do not require registration and can accommodate up to 300 participants. The most recent and advanced version, Stata-16, integrates Python with Stata.
We strongly encourage you to participate!
Bio: Chuck Huber is Director of Statistical Outreach at StataCorp and Adjunct Associate Professor of Biostatistics at the Texas A&M School of Public Health. Most of his current work is focused on statistical methods used by behavioral and health scientists. He has published in the areas of neurology, human and animal genetics, alcohol and drug abuse prevention, nutrition, and birth defects. Dr. Huber currently teaches introductory biostatistics at Texas A&M where he previously taught categorical data analysis, survey data analysis, and statistical genetics.
Please direct questions to Lakshika Tennakoon, Data Scientist, Division of Trauma and Acute Care, Department of Surgery at lakshika@stanford.edu
Presented by:
Chuck Huber, PhD
Director of Statistical Outreach, StataCorp
Adjunct Associate Professor of Biostatistics
Texas A&M School of Public Health
This curriculum is designed to support beginner, intermediate, and advanced “Stata” users. The courses do not require registration and can accommodate up to 300 participants. The most recent and advanced version, Stata-16, integrates Python with Stata.
We strongly encourage you to participate!
Bio: Chuck Huber is Director of Statistical Outreach at StataCorp and Adjunct Associate Professor of Biostatistics at the Texas A&M School of Public Health. Most of his current work is focused on statistical methods used by behavioral and health scientists. He has published in the areas of neurology, human and animal genetics, alcohol and drug abuse prevention, nutrition, and birth defects. Dr. Huber currently teaches introductory biostatistics at Texas A&M where he previously taught categorical data analysis, survey data analysis, and statistical genetics.
Please direct questions to Lakshika Tennakoon, Data Scientist, Division of Trauma and Acute Care, Department of Surgery at lakshika@stanford.edu