A structural approach to selection bias.

Hernán, M. A., Hernández-Díaz, S., & Robins, J. M. (2004). A structural approach to selection bias. Epidemiology, 15(5), 615-625.

Type

Journal article

Intellectual base

Primary research

Year

2004

DOI

10.1097/01.ede.0000135174.63482.43

Link

https://journals.lww.com/epidem/fulltext/2004/09000/a_structural_approach_to_selection_bias.20.aspx

Cited from

physical_sciences, statistics_experimental_design

Cited by

3 citations across 3 artifacts.

Each citation links to the sentence it supports in the citing article.

Primes

• Selection Bias
  • Selection bias occurs when units' inclusion in the analyzed sample depends on variables that are themselves caused by or associated with both the exposure and outcome, breaking the representativeness of the observed sample relative to the target population

    This sourceHernan structural selection bias causal graphs collider conditioning.

• Selective Propagation
  • An affirmative says the path was indifferent to the attribute; a negative says the observed population is a survivor set and has to be handled as one.

    This sourceDefines selection structurally, so that a population counts as a survivor set exactly when the probability of appearing in it depends on the attribute under study.

Domain-specific

• Collider (Causal Graph)
  • Nor is every selection-bias mechanism exhausted by one simple three-node collider, although selection indicators commonly play that role.

Verification

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Links previously used in the corpus

Before the registry existed this work was also linked 1 other way.

• https://doi.org/10.1097/01.ede.0000135174.63482.43 ×1

Registry ID ref:45cd6839d382 · see in the full table