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Statistical model building: Background “knowledge” based on inappropriate preselection causes misspe...

Statistical model building: Background “knowledge” based on inappropriate preselection causes misspe...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_8dc6965badb840b79bc26953bc38167d

Statistical model building: Background “knowledge” based on inappropriate preselection causes misspecification

About this item

Full title

Statistical model building: Background “knowledge” based on inappropriate preselection causes misspecification

Publisher

London: BioMed Central Ltd

Journal title

BMC medical research methodology, 2021-09, Vol.21 (1), p.1-196, Article 196

Language

English

Formats

Publication information

Publisher

London: BioMed Central Ltd

More information

Scope and Contents

Contents

Background Statistical model building requires selection of variables for a model depending on the model's aim. In descriptive and explanatory models, a common recommendation often met in the literature is to include all variables in the model which are assumed or known to be associated with the outcome independent of their identification with data...

Alternative Titles

Full title

Statistical model building: Background “knowledge” based on inappropriate preselection causes misspecification

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_8dc6965badb840b79bc26953bc38167d

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_8dc6965badb840b79bc26953bc38167d

Other Identifiers

ISSN

1471-2288

E-ISSN

1471-2288

DOI

10.1186/s12874-021-01373-z

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