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 subgroup comparisons with multivariable risk prediction[2]; however, this is not commonly done[3].

Slide set: File:Subgroup and Interaction Analysis.pdf

See also

References

  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. 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.
  3. 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.