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  2. Fleiss' kappa - Wikipedia

    en.wikipedia.org/wiki/Fleiss'_kappa

    Fleiss' kappa (named after Joseph L. Fleiss) is a statistical measure for assessing the reliability of agreement between a fixed number of raters when assigning categorical ratings to a number of items or classifying items. This contrasts with other kappas such as Cohen's kappa, which only work when assessing the agreement between not more than ...

  3. Sample size determination - Wikipedia

    en.wikipedia.org/wiki/Sample_size_determination

    Sample size determination or estimation is the act of choosing the number of observations or replicates to include in a statistical sample. The sample size is an important feature of any empirical study in which the goal is to make inferences about a population from a sample. In practice, the sample size used in a study is usually determined ...

  4. Odds ratio - Wikipedia

    en.wikipedia.org/wiki/Odds_ratio

    The sample odds ratio n 11 n 00 / n 10 n 01 is easy to calculate, and for moderate and large samples performs well as an estimator of the population odds ratio. When one or more of the cells in the contingency table can have a small value, the sample odds ratio can be biased and exhibit high variance .

  5. Cohort study - Wikipedia

    en.wikipedia.org/wiki/Cohort_study

    A cohort study is a particular form of longitudinal study that samples a cohort (a group of people who share a defining characteristic, typically those who experienced a common event in a selected period, such as birth or graduation), performing a cross-section at intervals through time. It is a type of panel study where the individuals in the ...

  6. Bias of an estimator - Wikipedia

    en.wikipedia.org/wiki/Bias_of_an_estimator

    The reason that an uncorrected sample variance, S 2, is biased stems from the fact that the sample mean is an ordinary least squares (OLS) estimator for μ: ¯ is the number that makes the sum = (¯) as small as possible. That is, when any other number is plugged into this sum, the sum can only increase.

  7. Cohen's kappa - Wikipedia

    en.wikipedia.org/wiki/Cohen's_kappa

    Cohen's kappa. Cohen's kappa coefficient ( κ, lowercase Greek kappa) is a statistic that is used to measure inter-rater reliability (and also intra-rater reliability) for qualitative (categorical) items. [1] It is generally thought to be a more robust measure than simple percent agreement calculation, as κ takes into account the possibility ...

  8. Retrospective cohort study - Wikipedia

    en.wikipedia.org/wiki/Retrospective_cohort_study

    Retrospective cohort study. Case–control study versus cohort on a timeline. "OR" stands for "odds ratio" and "RR" stands for "relative risk". A retrospective cohort study, also called a historic cohort study, is a longitudinal cohort study used in medical and psychological research. A cohort of individuals that share a common exposure factor ...

  9. Power of a test - Wikipedia

    en.wikipedia.org/wiki/Power_of_a_test

    Other things being equal, effects are harder to detect in smaller samples. Increasing sample size is often the easiest way to boost the statistical power of a test. How increased sample size translates to higher power is a measure of the efficiency of the test – for example, the sample size required for a given power.