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  2. Information bias (epidemiology) - Wikipedia

    en.wikipedia.org/wiki/Information_bias...

    Differential misclassification [ edit ] For example, the accuracy of blood pressure measurement may be lower for heavier than for lighter study subjects, or a study of elderly persons may find that reports from elderly persons with dementia are less reliable than those without dementia.

  3. Recall bias - Wikipedia

    en.wikipedia.org/wiki/Recall_bias

    Recall bias is a type of measurement bias, and can be a methodological issue in research involving interviews or questionnaires.In this case, it could lead to misclassification of various types of exposure. [2]

  4. Berkson error model - Wikipedia

    en.wikipedia.org/wiki/Berkson_error_model

    Main page; Contents; Current events; Random article; About Wikipedia; Contact us; Pages for logged out editors learn more

  5. Doctors Say This Is How You Can Loosen and Clear Mucus From ...

    www.aol.com/doctors-loosen-clear-mucus-chest...

    Here’s how to get rid of chest congestion medically and naturally, according to experts.

  6. Do I need a Netflix subscription to watch NFL Christmas ... - AOL

    www.aol.com/netflix-subscription-watch-nfl...

    Houston Texans vs. Baltimore Ravens. CBS-HOU: KHOU. CBS-BAL: WJZ-TV. Christmas NFL games 2024. Both of this year's Christmas NFL games are potential previews for AFC playoff matchups.

  7. Trump promises 'hell to pay' if Gaza hostages not promptly ...

    www.aol.com/news/trump-promises-hell-pay-gaza...

    (Reuters) -U.S. President-elect Donald Trump said on Monday there would be "hell to pay" in the Middle East if hostages held in the Gaza Strip were not released prior to his Jan. 20 inauguration.

  8. Discriminative model - Wikipedia

    en.wikipedia.org/wiki/Discriminative_model

    To maintain the least expected loss, the minimization of result's misclassification should be acquired. In the discriminative model, the posterior probabilities, (|), is inferred from a parametric model, where the parameters come from the training data. Points of estimation of the parameters are obtained from the maximization of likelihood or ...

  9. Multiclass classification - Wikipedia

    en.wikipedia.org/wiki/Multiclass_classification

    This section discusses strategies for reducing the problem of multiclass classification to multiple binary classification problems. It can be categorized into one vs rest and one vs one. The techniques developed based on reducing the multi-class problem into multiple binary problems can also be called problem transformation techniques.