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Valid Analysis
This term means an unbiased assessment. Such an assessment will, on average, yield the correct estimate of the difference in outcomes between two groups of subjects. Valid analysis can and should be conducted for both small and large studies. A valid analysis does not need to have a high statistical power for detecting a stated effect. The principal requirements for ensuring a valid analysis of the question of interest are:

  • allocation of study participants of both sexes/genders (males and females) and from different racial and/or ethnic groups to the intervention and control groups by an unbiased process such as randomization;
  • unbiased evaluation of the outcome(s) of study participants;
  • and use of unbiased statistical analyses and proper methods of inference to estimate and compare the intervention effects by sex/gender, race, and/or ethnicity.

Quoted from the NIH OER Glossary & Acronym List.

For additional information, see the Guidance for Valid Analysis reporting in ClinicalTrials.gov, NIH Policy and Guidelines on The Inclusion of Women and Minorities as Subjects in Clinical Research and SF424 (R&R) - Version E General Instructions.

See Also: Statistical Analysis Plan