Causal inference with observational data: the need for triangulation of evidence
Causal inference with observational data: the need for triangulation of evidence
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Full title
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Publisher
Cambridge, UK: Cambridge University Press
Journal title
Language
English
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Publisher
Cambridge, UK: Cambridge University Press
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Scope and Contents
Contents
The goal of much observational research is to identify risk factors that have a causal effect on health and social outcomes. However, observational data are subject to biases from confounding, selection and measurement, which can result in an underestimate or overestimate of the effect of interest. Various advanced statistical approaches exist that...
Alternative Titles
Full title
Causal inference with observational data: the need for triangulation of evidence
Authors, Artists and Contributors
Author / Creator
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Primary Identifiers
Record Identifier
TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8020490
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8020490
Other Identifiers
ISSN
0033-2917,1469-8978
E-ISSN
1469-8978
DOI
10.1017/S0033291720005127
