# NORDSTAT 2023

- **Website:** <https://nordstat2023.org>
- **Primary alias:** `nordstat2023.org`

## Description

**Brand Description: Peter Diggle at Lancaster University**

Peter Diggle, a distinguished Professor Emeritus at Lancaster University, specializes in the development and application of statistical methods to advance biomedical and health sciences. His expertise is further enriched by positions at notable institutions such as the University of Liverpool and adjunct roles at prestigious universities including Johns Hopkins and Columbia. Peter's research primarily focuses on spatial statistical methods and longitudinal data analysis. 

He leads significant projects aimed at enhancing public health through innovative methodologies, particularly in areas like early detection and real-time health surveillance. His work addresses pressing health concerns, including renal failure and infectious diseases, especially in low-resource settings. 

In addition to pioneering research, Peter engages in teaching and mentoring, offering advanced training in spatial and longitudinal data analysis. His contributions to the field are documented through numerous publications, establishing him as a thought leader in biostatistics and health informatics. Through his work, Peter Diggle continues to shape the future of health analytics and statistical methodology.

## Industries

- 🧪 Science and Education
- 🧪 Universities and Colleges _(under Science and Education)_
- ⛑ Health
- ⛑ Public Health and Safety _(under Health)_

## Links

- [twitter](https://twitter.com/nordstat2023)

## Logos & icons

- logo _(primary)_ — PNG — [download](https://cdn.brandfetch.io/idxzbL1Qre/w/340/h/156/theme/dark/logo.png?c=1bxid64Mup7aczewSAYMX&t=1746285550410)
- icon _(primary)_ — JPEG — [download](https://cdn.brandfetch.io/idxzbL1Qre/w/400/h/400/theme/dark/icon.jpeg?c=1bxid64Mup7aczewSAYMX&t=1746285551058)

## Colors

| Name | Hex | Theme |
| --- | --- | --- |
| Cod Gray | #171717 | dark |
| Alabaster | #f8f8f8 | light |

## Fonts

- Arial — asset _(custom)_

## Imagery

- banner _(primary)_ — JPEG — [download](https://cdn.brandfetch.io/idxzbL1Qre/w/1500/h/500/id9nYLpf9m.jpeg?c=1bxid64Mup7aczewSAYMX&t=1746285550298)

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_Source: <https://brandfetch.com/nordstat2023.org>_
_See [/llms.txt](/llms.txt) for a full list of agent-readable pages, and [/auth.md](/auth.md) for how agents authenticate._