Nina Niu Sanford: Great read where authors argue for less reliance on 0.05 p-value binary cutoff

Nina Niu Sanford shared a post on X/Twitter:

“Great read where authors argue for less reliance on 0.05 p-value binary cutoff in favor of considering confidence intervals and effect sizes.

Also love that 0.05 threshold was based in part on confidence in ability to discern milk versus tea pouring order.”

Visit the article website.
Source: Dr. Nina Niu Sanford/X

Dr. Nina Niu Sanford is an Assistant Professor and Chief of Gastrointestinal Radiation Oncology at Harvard/Brigham and Women’s Hospital/Massachusetts General Hospital. She specializes in treating gastrointestinal cancers and actively participates in clinical trials combining high-dose radiation therapy with immunotherapy. Additionally, she researches healthcare access disparities and conducts pan-cancer outcomes research using large databases.