Target validity: Bringing treatment of external validity in line with internal validity.
External Validity
Generalizability
Internal Validity
Randomized Trials
Target Population
Transportability
Journal
Current epidemiology reports
ISSN: 2196-2995
Titre abrégé: Curr Epidemiol Rep
Pays: Switzerland
ID NLM: 101626185
Informations de publication
Date de publication:
Sep 2020
Sep 2020
Historique:
entrez:
15
2
2021
pubmed:
16
2
2021
medline:
16
2
2021
Statut:
ppublish
Résumé
"Target bias" is the difference between an estimate of association from a study sample and the causal effect in the target population of interest. It is the sum of internal and external bias. Given the extensive literature on internal validity, here, we review threats and methods to improve external validity. External bias may arise when the distribution of modifiers of the effect of treatment differs between the study sample and the target population. Methods including those based on modeling the outcome, modeling sample membership, and doubly robust methods are available, assuming data on the target population is available. The relevance of information for making policy decisions is dependent on both the actions that were studied and the sample in which they were evaluated. Combining methods for addressing internal and external validity can improve the policy relevance of study results.
Identifiants
pubmed: 33585162
doi: 10.1007/s40471-020-00239-0
pmc: PMC7879946
mid: NIHMS1608522
doi:
Types de publication
Journal Article
Langues
eng
Pagination
117-124Subventions
Organisme : NIAAA NIH HHS
ID : K01 AA028193
Pays : United States
Organisme : NIAID NIH HHS
ID : K01 AI125087
Pays : United States
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