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  2. Contingency table - Wikipedia

    en.wikipedia.org/wiki/Contingency_table

    The example above is the simplest kind of contingency table, a table in which each variable has only two levels; this is called a 2 × 2 contingency table. In principle, any number of rows and columns may be used. There may also be more than two variables, but higher order contingency tables are difficult to represent visually.

  3. OpenEpi - Wikipedia

    en.wikipedia.org/wiki/OpenEpi

    Mid-p exact p-values and confidence limits for the odds ratio; Calculations of rate ratios and rate differences with confidence intervals and statistical tests. For stratified 2x2 tables with count data, OpenEpi provides: Mantel-Haenszel (MH) and precision-based estimates of the risk ratio and odds ratio; Precision-based adjusted risk difference

  4. Risk difference - Wikipedia

    en.wikipedia.org/wiki/Risk_difference

    Risk difference can be estimated from a 2x2 contingency table: Group Experimental (E) Control (C) ... Value Absolute risk increase ARI EER − CER: 0.1, or 10%

  5. Boschloo's test - Wikipedia

    en.wikipedia.org/wiki/Boschloo's_test

    Boschloo's test is a statistical hypothesis test for analysing 2x2 contingency tables. It examines the association of two Bernoulli distributed random variables and is a uniformly more powerful alternative to Fisher's exact test .

  6. Factorial experiment - Wikipedia

    en.wikipedia.org/wiki/Factorial_experiment

    The values 1 and 0; the values 1 and −1, often simply abbreviated by + and −; A lower-case letter with the exponent 0 or 1. If these values represent "low" and "high" settings of a treatment, then it is natural to have 1 represent "high", whether using 0 and 1 or −1 and 1. This is illustrated in the accompanying table for a 2×2 experiment.

  7. Number needed to harm - Wikipedia

    en.wikipedia.org/wiki/Number_needed_to_harm

    Value Absolute risk increase ARI EER − CER: 0.1, or 10% Number needed to harm: NNH 1 / (EER − CER) 10 Relative risk (risk ratio) RR EER / CER: 1.25 Relative risk increase RRI (EER − CER) / CER, or RR − 1 0.25, or 25% Attributable fraction among the exposed: AF e (EER − CER) / EER: 0.2 Odds ratio: OR (EE / EN) / (CE / CN) 1.5

  8. McNemar's test - Wikipedia

    en.wikipedia.org/wiki/McNemar's_test

    The McNemar's test is a special case of the Cochran–Mantel–Haenszel test; it is equivalent to a CMH test with one stratum for each of the N pairs and, in each stratum, a 2x2 table showing the paired binary responses. [18] Multinomial confidence intervals are used for matched pairs binary data.

  9. 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 ...