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  2. Clinical prediction rule - Wikipedia

    en.wikipedia.org/wiki/Clinical_prediction_rule

    In a prediction rule study, investigators identify a consecutive group of patients who are suspected of having a specific disease or outcome. The investigators then obtain a standard set of clinical observations on each patient and a test or clinical follow-up to define the true state of the patient.

  3. Cohen's h - Wikipedia

    en.wikipedia.org/wiki/Cohen's_h

    It can be used in calculating the sample size for a future study. When measuring differences between proportions, Cohen's h can be used in conjunction with hypothesis testing . A " statistically significant " difference between two proportions is understood to mean that, given the data, it is likely that there is a difference in the population ...

  4. General Rules for the Interpretation of the Harmonized System

    en.wikipedia.org/wiki/General_Rules_for_the...

    There are 6 General Rules in all, which must be applied in consecutive order. GRI 1 prescribes how to classify products at the 4-digit Heading level, based on the wording of the headings and the relative HS Section and Chapter Notes.

  5. One in ten rule - Wikipedia

    en.wikipedia.org/wiki/One_in_ten_rule

    In statistics, the one in ten rule is a rule of thumb for how many predictor parameters can be estimated from data when doing regression analysis (in particular proportional hazards models in survival analysis and logistic regression) while keeping the risk of overfitting and finding spurious correlations low.

  6. Statistical hypothesis test - Wikipedia

    en.wikipedia.org/wiki/Statistical_hypothesis_test

    An example of Neyman–Pearson hypothesis testing (or null hypothesis statistical significance testing) can be made by a change to the radioactive suitcase example. If the "suitcase" is actually a shielded container for the transportation of radioactive material, then a test might be used to select among three hypotheses: no radioactive source ...

  7. Interpretative phenomenological analysis - Wikipedia

    en.wikipedia.org/wiki/Interpretative...

    Interpretative phenomenological analysis (IPA) is a qualitative form of psychology research. IPA has an idiographic focus, which means that instead of producing generalization findings, it aims to offer insights into how a given person, in a given context, makes sense of a given situation.

  8. Probability interpretations - Wikipedia

    en.wikipedia.org/wiki/Probability_interpretations

    The physical interpretation, for example, is taken by followers of "frequentist" statistical methods, such as Ronald Fisher [dubious – discuss], Jerzy Neyman and Egon Pearson. Statisticians of the opposing Bayesian school typically accept the frequency interpretation when it makes sense (although not as a definition), but there is less ...

  9. Statutory interpretation - Wikipedia

    en.wikipedia.org/wiki/Statutory_interpretation

    Statutory interpretation is the process of resolving those ambiguities and deciding how a particular bill or law will apply in a particular case. Assume, for example, that a statute mandates that all motor vehicles travelling on a public roadway must be registered with the Department of Motor Vehicles (DMV).