Log in to save to my catalogue

Applied causal inference methods for sequential mediators

Applied causal inference methods for sequential mediators

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_d8511dba41a844d98c01d7b0181dd38f

Applied causal inference methods for sequential mediators

About this item

Full title

Applied causal inference methods for sequential mediators

Publisher

England: BioMed Central

Journal title

BMC medical research methodology, 2022-11, Vol.22 (1), p.301-301, Article 301

Language

English

Formats

Publication information

Publisher

England: BioMed Central

More information

Scope and Contents

Contents

Mediation analysis aims at estimating to what extent the effect of an exposure on an outcome is explained by a set of mediators on the causal pathway between the exposure and the outcome. The total effect of the exposure on the outcome can be decomposed into an indirect effect, i.e. the effect explained by the mediators jointly, and a direct effect...

Alternative Titles

Full title

Applied causal inference methods for sequential mediators

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_d8511dba41a844d98c01d7b0181dd38f

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_d8511dba41a844d98c01d7b0181dd38f

Other Identifiers

ISSN

1471-2288

E-ISSN

1471-2288

DOI

10.1186/s12874-022-01764-w

How to access this item