Time: 2:00 AM to 3:00 PM ET Series: HERC Econometrics with Observational Data Speaker: Liam Rose, PhD Description: This seminar provides an introduction to regression discontinuity design. We will review seminal applications to gain a conceptual understanding of the benefits and limitations of this design, and how it can allow for causal inference. We will …
observational data
Time: 2:00 AM to 3:00 PM ET Series: HERC Econometrics with Observational Data Speaker: Kritee Gujral, PhD Description: This seminar will provide an introduction to instrumental variables (IV) regression. We will discuss the purpose of using IV regression, necessary conditions for valid instruments, the intuition for how and why IV regression works, examples, and limitations. Target …
Time: 2:00 AM to 3:00 PM ET Series: HERC Econometrics with Observational Data Speaker: Todd Wagner, PhD Description: Abstract: Understanding causation with observational data is often more dependent on what we don’t observe than what we do observe. Multivariate techniques can be very useful for understanding observed characteristics. Propensity scores have emerged over the past …
Time: 1:00 PM to 2:00 PM ET Series: Duke Grand Rounds Speakers: Emily O’Brien, PhD, FAHA Associate Professor Duke Clinical Research Institute Duke University School of Medicine Department of Population Health Sciences Russell Rothman, MD, MPP Senior Vice President, Population and Public Health Director, Vanderbilt Institute for Medicine and Public Health Vanderbilt University Medical Center …
Time: 2:00 PM to 3:00 PM ET Series: HERC Econometrics with Observational Data Speaker: Todd Wagner, PhD Description: Abstract: Understanding causation with observational data is often more dependent on what we don’t observe than what we do observe. Multivariate techniques can be very useful for understanding observed characteristics. Propensity scores have emerged over the past …
