This session is part of series on Rigor & Reproducibility. It has been estimated that at least 50% of basic and preclinical research cannot be reproduced.  How can project design contribute to robust, reproducible data?  We will discuss how replication can lead to greater data confidence, what controls are appropriate and how N affects high content technologies.

Disclaimer Statement

The information presented at this CME program represents the views and opinions of the individual presenters, and does not constitute the opinion or endorsement of, or promotion by, the UPMC Center for Continuing Education in the Health Sciences, UPMC / University of Pittsburgh Medical Center or Affiliates and University of Pittsburgh School of Medicine.  Reasonable efforts have been taken intending for educational subject matter to be presented in a balanced, unbiased fashion and in compliance with regulatory requirements. However, each program attendee must always use his/her own personal and professional judgment when considering further application of this information, particularly as it may relate to patient diagnostic or treatment decisions including, without limitation, FDA-approved uses and any off-label uses