QP Statistics Spotlight: Randomization – At Random: The rationale behind randomization, and options when up against constraints

Journal Article · 28 February 2018 · Quality Progress

OSTI ID:1505973

Anderson-Cook, Christine Michaela  ^[1]

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1. Los Alamos National Lab. (LANL), Los Alamos, NM (United States)

While randomization may seem like a small part of the overall plan for implementing a designed experiment, it is important to protect against systematic bias and to justify the interpretation of the analysis results.

• Research Organization: Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
• Sponsoring Organization: U.S. Department of Homeland Security; USDOE
• Grant/Contract Number: 89233218CNA000001
• OSTI ID: 1505973
• Report Number(s): LA-UR--17-31288
• Journal Information: Quality Progress, Journal Name: Quality Progress Journal Issue: 3 Vol. 51; ISSN 0033-524X
• Publisher: American Society for Quality ControlCopyright Statement
• Country of Publication: United States
• Language: English