Subgroup analysis

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Subgroup analysis, in the context of design and analysis of experiments, refers to looking for pattern in a subset of the subjects[1].

Proposed best practice is to use adjust by any stratification variables from randomization[2], or to adjust subgroup comparisons with multivariable risk prediction[3]; however, this is not commonly done[4].

Selectively missing data may affect subroup analyses.

Slide set: File:Subgroup and Interaction Analysis.pdf

See also


  1. Lagakos SW (2006). "The challenge of subgroup analyses--reporting without distorting". NEJM. 354 (16): 1667–9. PMID 16625007. Unknown parameter |month= ignored (help)
  2. Moher D, Hopewell S, Schulz KF, Montori V, Gøtzsche PC, Devereaux PJ; et al. (2010). "CONSORT 2010 explanation and elaboration: updated guidelines for reporting parallel group randomised trials". BMJ. 340: c869. doi:10.1136/bmj.c869. PMC 2844943. PMID 20332511.
  3. Hayward RA, Kent DM, Vijan S, Hofer TP (2006). "Multivariable risk prediction can greatly enhance the statistical power of clinical trial subgroup analysis". BMC Med Res Methodol. 6: 18. doi:10.1186/1471-2288-6-18. PMC 1523355. PMID 16613605.
  4. Gabler NB, Duan N, Raneses E, Suttner L, Ciarametaro M, Cooney E; et al. (2016). "No improvement in the reporting of clinical trial subgroup effects in high-impact general medical journals". Trials. 17 (1): 320. doi:10.1186/s13063-016-1447-5. PMC 4947338. PMID 27423688.