Quantitative Bias Analysis in Regulatory Settings

Nonrandomized studies are essential in the postmarket activities of the US Food and Drug Administration, which, however, must often act on the basis of imperfect data. Systematic errors can lead to inaccurate inferences, so it is critical to develop analytic methods that quantify uncertainty and bia...

Full description

Saved in:
Bibliographic Details
Published in:Am J Public Health
Main Authors: Lash, Timothy L., Fox, Matthew P., Cooney, Darryl, Lu, Yun, Forshee, Richard A.
Format: Artigo
Language:Inglês
Published: American Public Health Association 2016
Subjects:
AJPH Methods
Online Access:https://ncbi.nlm.nih.gov/pmc/articles/PMC4984770/
https://ncbi.nlm.nih.gov/pubmed/27196652
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.2105/AJPH.2016.303199
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items