CACrown ArchivesThe cinema collection
Menu
Research dossier · Science & Nature

Ruth King (statistician)

statistician working in ecology, epidemiology, and medicine

Specimen drawers, botanical folios and brass scientific instruments under study light
Science and natureInterpretive dossier study · Crown Archives visual atlas
Record originEnglish Wikipedia
Text licenseCC BY-SA 4.0
Source revisionFeb 7, 2026
Entity authorityQ64414789
Source-derived summary

Ruth King (née Langham) FRSE FLSW is the current Thomas Bayes' Chair of Statistics in the School of Mathematics at the University of Edinburgh, having held the position since 2015. Prior to this she held positions at the University of Cambridge and the University of St Andrews.

Her main research interests are "Capture-recapture; Bayesian inference; hidden (semi-)Markov models; state-space models; missing data; applications in ecology and epidemiology".Her research focuses on the development of novel statistical techniques applied to a range of different application areas, particularly within ecology, epidemiology or medicine. This research is often interdisciplinary in nature, relying on strong collaborative links with other researchers.She was recognised by the Royal Society of Edinburgh as one of Scotland's leading female scientists in their exhibition and elected as a Fellow in 2018. She was also elected a fellow of the Learned Society of Wales in 2017, and a Fellow of the Institute of Mathematical Statistics in 2022.

Career and research

She graduated with a BSc in Mathematics with Statistics in 1998, and completed a PhD in 2001, both from the University of Bristol. In her final year of undergraduate she was awarded the 'Henry Ronald Hasse Prize'. Her PhD was supervised by Steve Brooks.

Following her PhD she worked as a research associate at the University of Cambridge, from 2001 to 2003.

From 2003 to 2005, she was an EPSRC post-doctoral fellow.

Editorial summary

This brief starts where responsible research should: with the source description of “Ruth King (statistician)” as statistician working in ecology, epidemiology, and medicine. Everything that follows is an evidence route, not borrowed authority.

Editorial reviewUseful for establishing the present vocabulary of the subject while preserving a route back to the evidence on which that vocabulary rests. The current lead gives the account dated anchors—2015, 2018, 2017, 2022—that can be checked directly. The selected authority fields contribute no independent date. The account is most persuasive where Ruth, King and statistician can be independently traced.
Editorial analysis

Why this record matters

The subject matters to the science & nature register because the source frames it as statistician working in ecology, epidemiology, and medicine. Its deeper value depends on whether names, dates, institutions and citations support that framing.

Evidence profile

The date and method of observation matter as much as the stated conclusion, especially where classification or consensus has changed. The source revision retrieved here is dated Feb 7, 2026. The linked authority identifier is Q64414789. 1 of 1 selected statements include explicit references; 0 carry qualifiers and 0 use preferred rank. The first chronological checks are 2015, 2018, 2017 and 2022.

Critical limits

Current terminology should not be projected backward without checking the classification used when the underlying evidence was created. 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

Check terminology, classification and the date of the cited evidence. Scientific names and technical consensus can change while older records retain historical value.

Best used for
  • Current terminology
  • Classification context
  • Finding cited technical literature
Verify next

Primary datasets, specimen catalogues, standards bodies and the most recent peer-reviewed literature.

Three-step research path

  1. Establish the record: confirm the title “Ruth King (statistician)”, its source revision and the description used here.
  2. Expand the search: follow Ruth King (statistician) primary sources, Ruth King (statistician) archive and Ruth research across catalogues and specialist indexes.
  3. Test the account: compare the strongest cited source with the responsible institution’s current record and note any disagreement.

Questions for further research

  1. Which source most directly establishes the central claim about “Ruth King (statistician)”?
  2. Is the terminology current, historical or disputed?
  3. Which observation, specimen, dataset or publication supports the account?
Subject index

Search terms from this dossier

Source & attribution

This entry incorporates text from Ruth King (statistician)” 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.