
The Statistical Workshop Series combines the statistical approaches, study design, sources of error, research question and literature critique core competencies. This series aims to describe the role that statistics serves in the sciences. Attendees will use this knowledge to formulate well-defined clinical and translational research questions, and to incorporate regulatory precepts into the design of future studies.
Date: | Title: | Presenter: |
Sept. 11 | Guan Yu, PhD | |
Sept. 25 | Michael LaMonte, PhD, MPH | |
Oct. 10 | Kristopher Attwood, PhD | |
Oct. 23 | Li Yan, PhD | |
Nov. 6 | Jeffrey Miecznikowski, PhD | |
Nov. 20 | Sensitivity Analysis for Unmeasured Confounding & Nonignorable Missingness | Jiwei Zhao, PhD |
Dec. 4 | Michael Sill, PhD | |
Feb. 5 | CANCELLED Pilot Studies: A Statistical Prospective | Gregory Wilding, PhD |
Feb. 19 | Guan Yu, PhD | |
Mar. 12 | Michael LaMonte, PhD, MPH | |
Mar. 26 | Understanding Confounding, Selection and Information Bias in the Health Sciences Literature | Hailey Banack, PhD |
Apr. 2 | CANCELLED Nonparametric Tests: A Strategy for those Living in the Non-Normally Distributed World | Gregory Wilding, PhD |
Apr. 16 | Propensity Score Matching in Casual Inference and Missing Data Analysis | Jiwei Zhao, PhD |
Apr. 30 | Statistical Equivalence Testing: Proving Groups are the Same | Jeffrey Miecznikowski, PhD |
May 7 | Virginia Filiaci, PhD |