Nested case–control study: Difference between revisions

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==Analysis of nested case-control studies==

The analysis of a nested case control model must take into account the way in which controls are sampled from the cohort. Failing to do so, such as by treating the cases and selected controls as the original cohort and performing a logistic regression, which is common, can result in biased estimates whose null distribution is different thanfrom what is assumed. Ways to account for the random sampling include conditional logistic regression <ref>Borgan, O., Goldstein, L., and Langholz, B. 1995. ''Methods for the Analysis of Sampled Cohort Data in the Cox Proportional Hazards Model''. Annals of Statistics,

Volume 23, Number 5, 1749-1778.</ref> and using [[inverse probability weighting]] to adjust for missing covariates among those who are not selected into the study.<ref name=Cai/>