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Graphical models for inference under outcome-dependent sampling

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

We consider situations where data have been collected such that
the sampling depends on the outcome of interest and possibly further covariates,
as for instance in case-control studies. Graphical models represent
assumptions about the conditional independencies among the variables. By
including a node for the sampling indicator, assumptions about sampling
processes can be made explicit. We demonstrate how to read off such graphs
whether consistent estimation of the association between exposure and outcome
is possible. Moreover, we give sufficient graphical conditions for testing
and estimating the causal effect of exposure on outcome. The practical
use is illustrated with a number of examples.
OriginalsprogEngelsk
TidsskriftStatistical Science
Vol/bind25
Udgave nummer3
Sider (fra-til)368-387
Antal sider20
ISSN0883-4237
DOI
StatusUdgivet - 2010

ID: 33244176