Jan
18
Mon
2021
Canceled | Weekly Work-In-Progress Session
Jan 18 @ 5:00 pm – 6:00 pm

Due to Martin Luther King’s Holiday, the Weekly Work In Progress has been canceled. We will resume on January 25, 2021. 

Jan
25
Mon
2021
ZOOM | Weekly Work-In-Progress Session
Jan 25 @ 5:00 pm – 6:00 pm

Weekly Work-In-Progress ASC Practice Session

Practice presentation run for Academic Surgical Congress
Presented by Stanford, Department of Surgery Residents
Stanford University

Feb
1
Mon
2021
ZOOM | Monthly Work-In-Progress Session
Feb 1 @ 5:00 pm – 6:00 pm

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

Feb
8
Mon
2021
ZOOM | Weekly Work-In-Progress Session
Feb 8 @ 5:00 pm – 6:00 pm

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

Feb
15
Mon
2021
Canceled | Weekly Work-In-Progress Session
Feb 15 @ 5:00 pm – 6:00 pm

Due to President’s Holiday, the Weekly Work In Progress has been canceled. We will resume on February 22, 2021. 

Mar
1
Mon
2021
ZOOM | Weekly Work-In-Progress Session
Mar 1 @ 5:00 pm – 6:00 pm

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

Mar
15
Mon
2021
ZOOM | Weekly Work-In-Progress Session
Mar 15 @ 5:00 pm – 6:00 pm

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

Mar
19
Fri
2021
Statistical Seminar: Introduction to Stata
Mar 19 @ 1:00 pm – 2:00 pm

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 

Statistical Seminar: Data Management 1
Mar 19 @ 2:15 pm – 3:15 pm

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 

Statistical Seminar: Basic Descriptive and Inferential Statistics
Mar 19 @ 3:30 pm – 4:30 pm

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