Combining Evidence Across Independent Strata

  • Michael O. Finkelstein
  • Bruce Levin
Part of the Statistics for Social and Behavioral Sciences book series (SSBS)


Quite often, a party seeking to show statistical significance combines data from different sources to create larger numbers, and hence greater significance for a given disparity. Conversely, a party seeking to avoid finding significance disaggregates data insofar as possible. In a discrimination suit brought by female faculty members of a medical school, plaintiffs aggregated faculty data over several years, while the school based its statistics on separate departments and separate years (combined, however, as discussed below).


Acceptance Rate Discordant Pair Summary Relative Risk Female Faculty Member White Employee 
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Copyright information

© Springer Science+Business Media, LLC 2015

Authors and Affiliations

  • Michael O. Finkelstein
    • 1
  • Bruce Levin
    • 2
  1. 1.New YorkUSA
  2. 2.Department of Biostatistics, Mailman School of Public HealthColumbia UniversityNew YorkUSA

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