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A practical solution to estimate the sample size required for clinical prediction models generated f...

A practical solution to estimate the sample size required for clinical prediction models generated f...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_8a4c4f8d3dc042809f77209d220127bf

A practical solution to estimate the sample size required for clinical prediction models generated from observational research on data

About this item

Full title

A practical solution to estimate the sample size required for clinical prediction models generated from observational research on data

Publisher

Vienna: Springer Vienna

Journal title

European Radiology Experimental, 2022-06, Vol.6 (1), p.22-22, Article 22

Language

English

Formats

Publication information

Publisher

Vienna: Springer Vienna

More information

Scope and Contents

Contents

Background
Estimating the required sample size is crucial when developing and validating clinical prediction models. However, there is no consensus about how to determine the sample size in such a setting. Here, the goal was to compare available methods to define a practical solution to sample size estimation for clinical predictive models, as a...

Alternative Titles

Full title

A practical solution to estimate the sample size required for clinical prediction models generated from observational research on data

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_8a4c4f8d3dc042809f77209d220127bf

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_8a4c4f8d3dc042809f77209d220127bf

Other Identifiers

ISSN

2509-9280

E-ISSN

2509-9280

DOI

10.1186/s41747-022-00276-y

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