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Subgroup analysis
Introduction
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
References
References
- ↑ Lagakos SW (2006). “The challenge of subgroup analyses–reporting without distorting”. NEJM. 354 (16): 1667–9. PMID 16625007. Unknown parameter
|month=ignored (help) - ↑ 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.
- ↑ 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.
- ↑ 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.