Sarah Nusser
American statistician

Sarah Margaret Nusser (born 1957) is an American statistician and expert on survey methodology. She is vice president for research at Iowa State University, where she is also a professor of statistics and the former director of the Center for Survey Statistics and Methodology. As well as survey statistics, her research publications have included contributions to human nutrition and to environmental statistics.
Education and career
Nusser majored in botany at the University of Wisconsin–Madison, where she graduated in 1980. After earning a master's degree in botany at North Carolina State University in 1983, she switched to Iowa State University for graduate study in statistics, earning a second master's degree in 1987 and completing her Ph.D. in 1990. Her dissertation, Failure Time Analyses for Data Collected from Independent Groups of Correlated Individuals, was supervised by Kenneth J. Koehler.
After working for Procter & Gamble as a statistician, she became an assistant professor at Iowa State in 1992. She served as director of the Center for Survey Statistics and Methodology from 1992 to 2004 and 2007 to 2010, and became affiliated with the graduate programs in Ecology and Evolutionary Biology in 1994 and in Human Computer Interaction in 2004. She was promoted to full professor in 2003, and became vice president for research in 2014.
Recognition
Nusser became a Fellow of the American Statistical Association in 2003, and an Elected Member of the International Statistical Institute in 2012.
Begin with the source’s own compact description: “Sarah Nusser” is american statistician. The dossier treats that line as a proposition to test through Sarah, Nusser and American, not as a finished interpretation.
Why this record matters
The phrase “american statistician” supplies a clear boundary for inquiry. It also exposes the unanswered questions: who defined that boundary, when it became stable and which sources sit outside it.
Named sources, stable identifiers and responsible institutions provide the strongest route from overview to verifiable evidence. The source revision retrieved here is dated Mar 11, 2026. The linked authority identifier is Q83659184. VIAF identifies the subject as 43590808. The Library of Congress control number is n97093132. None of the 3 selected statements returned an explicit reference. The first chronological checks are 1957, 1980, 1983 and 1987.
The absence of detail may reflect summary conventions rather than a lack of surviving documentation. The lead is largely declarative, so disagreement and counter-evidence require a deliberate search beyond the opening account. Authority statements aid reconciliation but still require their own references, qualifiers and ranks to be checked.
How to read it
Use the entry as an orientation point, then follow its citations and revision history. Names, dates and institutional relationships should be checked against the original record.
- Subject orientation
- Search vocabulary
- Locating named sources
The closest primary source, responsible institution and strongest cited specialist reference.
Three-step research path
- Establish the record: confirm the title “Sarah Nusser”, its source revision and the description used here.
- Expand the search: follow Sarah Nusser primary sources, Sarah Nusser archive and Sarah research across catalogues and specialist indexes.
- Test the account: compare the strongest cited source with the responsible institution’s current record and note any disagreement.
Questions for further research
- Which source most directly establishes the central claim about “Sarah Nusser”?
- Which cited source is closest to the event, object or claim?
- What terminology or title could unlock a more precise catalogue search?
Search terms from this dossier
This entry incorporates text from “Sarah Nusser” on English Wikipedia. Contributors are listed in the page history. Text is available under the Creative Commons Attribution-ShareAlike 4.0 License. Selected authority identifiers and statements are retrieved from Wikidata under CC0; their references and qualifiers remain part of the verification path.