Valid and efficient subgroup analyses using nested case-control data | Zendy

Bénédicte Delcoigne | Zendy; Nathalie C. Støer | Zendy; Marie Reilly | Zendy

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Valid and efficient subgroup analyses using nested case-control data

Author(s) -

Bénédicte Delcoigne,

Nathalie C. Støer,

Marie Reilly

Publication year - 2018

Publication title -

international journal of epidemiology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.406

H-Index - 208

eISSN - 1464-3685

pISSN - 0300-5771

DOI - 10.1093/ije/dyx282

Subject(s) - covariate , statistics , nested case control study , logistic regression , proportional hazards model , regression analysis , mathematics , confounding , population , econometrics , regression , medicine , cohort , environmental health

It is not uncommon for investigators to conduct further analyses of subgroups, using data collected in a nested case-control design. Since the sampling of the participants is related to the outcome of interest, the data at hand are not a representative sample of the population, and subgroup analyses need to be carefully considered for their validity and interpretation.

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