# Centre for Statistics in Medicine
**Wikidata**: [Q5062584](https://www.wikidata.org/wiki/Q5062584)  
**Wikipedia**: [English](https://en.wikipedia.org/wiki/Centre_for_Statistics_in_Medicine)  
**Source**: https://4ort.xyz/entity/centre-for-statistics-in-medicine

## Summary
The Centre for Statistics in Medicine is a research institute located in Oxford, United Kingdom, dedicated exclusively to research activities and part of the University of Oxford's Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences.

## Key Facts
- Classified as a research institute with the authority ID sh85113043 from the Library of Congress and GND ID 4017909-6 from the German National Library
- Located in Oxford, United Kingdom, with the Geonames feature code S.ITTR
- Part of the University of Oxford's Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences
- Uses the Dewey Decimal Classification 001.406 for library cataloging
- Has a website at https://www.ndorms.ox.ac.uk/csm
- Has a freebase ID of /m/02q21hh
- Has 1 Wikipedia language edition covering the topic (English)
- Is mapped to schema.org/ResearchOrganization for structured data purposes
- Is distinguished from scientific societies, think tanks, and research centers

## FAQs
### Q: What is the primary purpose of the Centre for Statistics in Medicine?
A: The Centre for Statistics in Medicine exists solely to conduct research, focusing exclusively on statistical methods and their application to medical research without the teaching obligations that divide university researchers' attention.

### Q: How is the Centre for Statistics in Medicine different from other research organizations?
A: Unlike hybrid organizations that combine research with teaching or commercial activities, the Centre for Statistics in Medicine is dedicated exclusively to research, covering all academic disciplines rather than specializing in policy research like think tanks.

### Q: What makes research institutes like this center distinct from universities?
A: While universities balance teaching and research, research institutes like the Centre for Statistics in Medicine focus solely on systematic investigation, accelerating breakthroughs by concentrating resources and talent purely on investigation.

## Why It Matters
Research institutes serve as dedicated engines of discovery, free from the teaching obligations that divide university researchers' attention. By concentrating resources and talent purely on investigation, these organizations accelerate breakthroughs in fields from medicine to technology. They provide spaces where scientists can pursue long-term, high-risk research that might not fit within university or corporate timelines. Many significant scientific advances - from vaccine development to renewable energy technologies - emerged from research institutes specifically designed to tackle complex problems without distraction. In an era where innovation drives economic competitiveness and addresses global challenges like climate change and pandemics, research institutes represent critical infrastructure for advancing human knowledge and solving society's most pressing problems.

## Notable For
- Dedicated exclusively to research activities, unlike hybrid organizations
- Covers all academic disciplines rather than specializing in policy like think tanks
- Distinguished from related concepts like scientific societies which are membership organizations
- Recognized across 1 Wikipedia language edition, indicating its specific focus on statistical methods in medicine
- Classified with unique identifiers across multiple library and knowledge systems

## Body
### Classification and Identification
The Centre for Statistics in Medicine represents a distinct organizational form in the landscape of knowledge-producing institutions. Unlike universities that balance teaching and research missions, or companies that pursue research for commercial ends, this research institute exists purely to generate new knowledge through systematic investigation.

The entity is formally classified under multiple knowledge organization systems. The Library of Congress uses the authority ID sh85113043, while the German National Library assigns GND ID 4017909-6. Geographic databases recognize research institutes through the Geonames feature code S.ITTR. In library science, it falls under Dewey Decimal Classification 001.406.

### Distinctions from Related Entities
Research institutes are specifically differentiated from several similar organizations. Unlike scientific societies or learned societies which are membership-based organizations, research institutes are operational entities conducting hands-on investigation. They differ from think tanks in their broader disciplinary scope - while think tanks focus on policy research, research institutes pursue fundamental inquiry across all fields. They're also distinct from research centers, which may be sub-units within larger organizations rather than standalone entities.

### Institutional Affiliation
The Centre for Statistics in Medicine is part of the University of Oxford's Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences. This affiliation provides access to university resources while maintaining its research-focused mission. The parent organization is referenced with the identifier P813: 2021-06-28 and P854: https://www.ndorms.ox.ac.uk/csm.

### Global Recognition and Accessibility
The Centre for Statistics in Medicine maintains a website at https://www.ndorms.ox.ac.uk/csm, which is identified as being in English (P407: English). This site serves as the primary point of contact for researchers and collaborators. The organization's freebase ID is /m/02q21hh, linking it to broader knowledge graphs.

### Research Focus and Scope
As a research institute, the Centre for Statistics in Medicine specializes in statistical methods and their application to medical research. It operates independently from teaching responsibilities, allowing researchers to pursue long-term, high-risk projects that might not be feasible within university or corporate structures. This focus on statistical methodology enables breakthroughs in clinical trials, epidemiological studies, and health data analysis.

### Knowledge Organization and Classification
The Centre for Statistics in Medicine is systematically categorized across multiple knowledge systems:
- Library of Congress authority ID: sh85113043
- German National Library GND ID: 4017909-6
- Dewey Decimal Classification: 001.406
- Geonames feature code: S.ITTR

These classifications help libraries and information systems identify and organize research institutes as distinct entities from universities and other research organizations.

## References

1. [Source](https://www.ndorms.ox.ac.uk/csm)