Statistical Topics for Reproducible Animal Research

Preclinical research involving animal models can be improved when appropriate experimental, analytical, and reporting practices are used. We produced a series of animated vignettes with quantitative experts and laboratory scientists discussing aspects of study design, interpretation, and reporting. Each vignette introduces viewers to key concepts that can stimulate the important conversations needed between quantitative experts and laboratory scientists to enhance rigor, reproducibility, and transparency in pre-clinical research.

Looking for more? Check out the National Institute of General Medical Sciences (NIGMS) - Clearinghouse for Training Modules to Enhance Data Reproducibility

In January 2014, NIH launched a series of initiatives to enhance rigor and reproducibility in research. As a part of this initiative, NIGMS, along with nine other NIH institutes and centers, issued a funding opportunity announcement (FOA) RFA-GM-15-006 to develop, pilot and disseminate training modules to enhance data reproducibility. This FOA was reissued in 2018 (RFA-GM-18-002).

For the benefit of the scientific community, NIGMS will be posting the products of grants funded by these FOAs HERE as they become available. In addition, NIGMS is sharing other relevant training modules developed, including courses developed from administrative supplements to NIGMS predoctoral T32 grants.

Learning Objectives

This resource contains lab based vignettes targeting the following areas:

  1. Reporting Methods
  2. Power Analysis - Broad Basics
  3. Batch Effects
  4. Multiple Testing
  5. Interaction Effects
  6. Technical Replicates
  7. Randomization
  8. Group Housing
  9. Confounding
Scientific concepts and research design
Study and site management
Data management and informatics
On demand
Delivery Method

Submitted by Russell Lackey, MS on Fri, 11/15/2019 - 09:57 . Last modified on 10/27/2020