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  2. Barnard's test - Wikipedia

    en.wikipedia.org/wiki/Barnard's_test

    Under specious pressure from Fisher, Barnard retracted his test in a published paper, [8] however many researchers prefer Barnard’s exact test over Fisher's exact test for analyzing 2 × 2 contingency tables, [9] since its statistics are more powerful for the vast majority of experimental designs, whereas Fisher’s exact test statistics are conservative, meaning the significance shown by ...

  3. Risk difference - Wikipedia

    en.wikipedia.org/wiki/Risk_difference

    Download as PDF; Printable version; In other projects ... Risk difference can be estimated from a 2x2 contingency table: Group ... Formula Value Absolute risk ...

  4. McNemar's test - Wikipedia

    en.wikipedia.org/wiki/McNemar's_test

    It is to the second table that McNemar's test can be applied. Notice that the sum of the numbers in the second table is 85—the number of pairs of siblings—whereas the sum of the numbers in the first table is twice as big, 170—the number of individuals. The second table gives more information than the first.

  5. Contingency table - Wikipedia

    en.wikipedia.org/wiki/Contingency_table

    C suffers from the disadvantage that it does not reach a maximum of 1.0, notably the highest it can reach in a 2 × 2 table is 0.707 . It can reach values closer to 1.0 in contingency tables with more categories; for example, it can reach a maximum of 0.870 in a 4 × 4 table.

  6. Boschloo's test - Wikipedia

    en.wikipedia.org/wiki/Boschloo's_test

    All the numbers in the table are independently random. Each of the cells of the contingency table is a separate binomial probability and neither Fisher's fully constrained 'exact' test nor Boschloo's partly-constrained test are based on the statistics arising from the experimental design.

  7. Number needed to treat - Wikipedia

    en.wikipedia.org/wiki/Number_needed_to_treat

    Snapinn and Jiang [11] showed examples where the information conveyed by the NNT may be incomplete or even contradictory compared to the traditional statistics of interest in survival analysis. A comprehensive research on adjustment of the NNT for explanatory variables and accommodation to time-dependent outcomes was conducted by Bender and ...

  8. Goodman and Kruskal's lambda - Wikipedia

    en.wikipedia.org/wiki/Goodman_and_Kruskal's_lambda

    Although Goodman and Kruskal's lambda is a simple way to assess the association between variables, it yields a value of 0 (no association) whenever two variables are in accord—that is, when the modal category is the same for all values of the independent variable, even if the modal frequencies or percentages vary. As an example, consider the ...

  9. Prevalence - Wikipedia

    en.wikipedia.org/wiki/Prevalence

    In science, prevalence describes a proportion (typically expressed as a percentage). For example, the prevalence of obesity among American adults in 2001 was estimated by the U. S. Centers for Disease Control (CDC) at approximately 20.9%. [5] Prevalence is a term that means being widespread and it is distinct from incidence.