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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. Selection bias - Wikipedia

    en.wikipedia.org/wiki/Selection_bias

    Selection bias is the bias introduced by the selection of individuals, groups, or data for analysis in such a way that proper randomization is not achieved, thereby failing to ensure that the sample obtained is representative of the population intended to be analyzed. [1]

  6. These Are the Healthiest Fast Food Restaurants, According to ...

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    Fast food gets a bad rap for being unhealthy, but there are healthy fast food options at chains like McDonald’s, Pizza Hut, and Sonic. Dietitians explain.

  7. The 10 Best Nonfiction Books of 2024 - AOL

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    Credit - Illustration by Natalie Nelson for TIME; Source Image: Chris Ware—Keystone Features/Hulton Archive/Getty Images. T he best nonfiction books of the year tackle undeniably difficult ...

  8. Oversampling and undersampling in data analysis - Wikipedia

    en.wikipedia.org/wiki/Oversampling_and_under...

    For example, the individual components of a differential white blood cell count must all add up to 100, because each is a percentage of the total. Data that is embedded in narrative text (e.g., interview transcripts) must be manually coded into discrete variables that a statistical or machine-learning package can deal with.

  9. Discretionary vs. Non-Discretionary Accounts: Which Is Best ...

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    In a non-discretionary account, a broker has no independent authority to execute trades. They can only buy and sell assets at their client’s instructions and have a duty to do so at the best ...