Missing Data Sensitivity Analyses for Alcohol Research
Craig K. Enders, Lara A. Ray · 2026
Read Missing Data Sensitivity Analyses for Alcohol Research by Craig K. Enders, Lara A. Ray (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13181312.txt.
Description
Craig K Enders and Lara A Ray give alcohol researchers a hands-on guide to a tricky problem: people who drink the most may be the ones who stop answering surveys. When missing answers track the hidden drinking itself, standard fixes can mislead. Their 2026 paper shows how to run sensitivity analyses, which rerun the study under varied guesses about the missing data. Stable findings across guesses earn more trust.
The guide walks through two model types step by step, with annotated scripts and output in extra files. A trial example shows the method at work and notes where other studies would need changes. The authors also list what to report so readers can judge the checks. They stress that guesses about missing data can never be proven from the data alone.
Catalog record
| CREATOR | Craig K. Enders, Lara A. Ray |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 62 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |