Centre for Statistics and Data Science

E535414
data science research unit methodological unit research centre statistics research unit

The Centre for Statistics and Data Science is a research and methodological unit within the Norwegian Institute of Public Health that develops and applies advanced statistical and data science approaches to support public health research and decision-making.

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All labels observed (1)

Label Occurrences
Centre for Statistics and Data Science canonical 1

Statements (46)

Predicate Object
instanceOf data science research unit ⓘ
methodological unit ⓘ
research centre ⓘ
statistics research unit ⓘ
activity applied statistical analysis ⓘ
collaboration with public health researchers ⓘ
consultation on statistical methods ⓘ
data science applications in health ⓘ
methodological research ⓘ
affiliation Norwegian Institute of Public Health NERFINISHED ⓘ
collaboratesWith international public health institutions ⓘ
universities in Norway ⓘ
country Norway ⓘ
employer biostatisticians ⓘ
data scientists ⓘ
epidemiologists ⓘ
research software engineers ⓘ
field biostatistics ⓘ
causal inference ⓘ
data science ⓘ
epidemiology methods ⓘ
health data analysis ⓘ
machine learning ⓘ
public health ⓘ
statistical modelling ⓘ
statistics ⓘ
focus analysis of health registries ⓘ
evaluation of public health interventions ⓘ
risk assessment in public health ⓘ
supporting national public health surveillance ⓘ
language English ⓘ
Norwegian ⓘ
location Oslo, Norway NERFINISHED ⓘ
parentOrganization Norwegian Institute of Public Health NERFINISHED ⓘ
partOf Norwegian Institute of Public Health NERFINISHED ⓘ
purpose to develop advanced data science methods for public health ⓘ
to develop advanced statistical methods for public health ⓘ
to support evidence-based decision-making in public health ⓘ
to support public health research ⓘ
sector public sector ⓘ
usesMethod Bayesian statistics ⓘ
causal modelling ⓘ
longitudinal data analysis ⓘ
predictive modelling ⓘ
statistical programming ⓘ
survival analysis ⓘ

How these facts were elicited

The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.

Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10.

# Requirements
- If you don't know the subject at all, return an empty list.
- If the subject is not a named entity, return an empty list.
- Include at least one triple where predicate is "instanceOf".
- Do not get too wordy.
- Separate several objects into multiple triples with one object.
Input
Subject: Centre for Statistics and Data Science
Description of subject: The Centre for Statistics and Data Science is a research and methodological unit within the Norwegian Institute of Public Health that develops and applies advanced statistical and data science approaches to support public health research and decision-making.

Referenced by (1)

Full triples — surface form annotated when it differs from this entity's canonical label.

Norwegian Institute of Public Health → hasPart → Centre for Statistics and Data Science ⓘ