Research Learning Series (RLS) - Talk with a Biostatistician Part 1: Retrospective Analyses

In this Research Learning Series (RLS) webinar, learn from our panel of biostatisticians as they discuss:

The process by which datasets are constructed and data relationships are formed
Aggregation and filtering operations by which datasets can be made to answer specific clinical questions
The limitations of secondary dataset analyses, including confounders, post-hoc statistical tests, and the use of proxy variables due to unmeasured outcomes
Statistical tests commonly used in secondary dataset analyses
Research questions best answered by a dataset analysis

Authors

Lynn P. Roppolo, MD

John Peter Smith Health Network
Dr. Roppolo is a retired Professor of Emergency Medicine from the University of Texas Southwestern (UTSW) and is currently core faculty and the Assistant Ultrasound Director at John Peter Smith Hospital in Fort Worth Texas. She is an Adjunct Professor at the University of North Texas and Texas Christian University. She is a Senior Editor for the Journal of Emergency Medicine and has published numerous peer reviewed papers as first or senior author. She has assisted with coordinating the Research Learning Series for the last two years. Her scholarly and research interests involve anything related to ultrasound and managing acutely agitated patients to reduce physical assaults on ED staff. She is a graduate of the University of California, San Diego School of Medicine, did her emergency medicine residency at the George Washington University and an emergency ultrasound fellowship at UTSW after being part of the residency leadership for 15 years.
Christine Ramdin, PhD

Faculty

Rutgers New Jersey Medical School
Christine Ramdin, PhD, is a faculty member at the Instructor level at Rutgers New Jersey Medical School Department of Emergency Medicine. She has a PhD in Biomedical Informatics, and has research interests in Addiction Medicine, Medical Toxicology, Pain Medicine, and Stroke. She has published several studies using big data sources such as NHAMCS, HCUP, and NSSATs, and has worked with the NSDUH and TEDs dataset, along with several other local and national datasets. She has experience in conducting big data analyses and utilizing several different types of statistical methods.
Robert Ehrman, MD, MS

Associate Professor of Emergency Medicine

Wayne State University
Dr. Robert Ehrman is an Associate Professor of Emergency Medicine at Wayne State University in Detroit, MI. He completed his Emergency Medicine Residency at Yale-New Haven Hospital and a Fellowship in Emergency Ultrasound at Cook County Hospital in Chicago, IL. In 2019, he received a Master of Science in biostatistics and research design from the University of Michigan. He is the Director of Emergency Ultrasound Research at Detroit Medical Center, a member of the Biostatistics, Epidemiology, and Research Design group at Wayne State University, and a methods and statistics editor for Academic Emergency Medicine. Dr. Ehrman’s research focuses on the use of heart and lung ultrasound, in combination with biomarkers, to optimize fluid resuscitation in sepsis. As a principal investigator, he has received research funding from NIGMS, SAEMF, and multiple industry contracts. He has collaborated on multiple studies involving echocardiography and lung ultrasound in acute heart failure, with funding from NHLBI, NIMHD, and EMF.