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  2. Healthy user bias - Wikipedia

    en.wikipedia.org/wiki/Healthy_user_bias

    The healthy user bias or healthy worker bias is a bias that can damage the validity of epidemiologic studies testing the efficacy of particular therapies or interventions. Specifically, it is a sampling bias or selection bias : the kind of subjects that take up an intervention, including by enrolling in a clinical trial , are not representative ...

  3. Selection bias - Wikipedia

    en.wikipedia.org/wiki/Selection_bias

    Self-selection bias or a volunteer bias in studies offer further threats to the validity of a study as these participants may have intrinsically different characteristics from the target population of the study. [19] Studies have shown that volunteers tend to come from a higher social standing than from a lower socio-economic background. [20]

  4. Medical volunteerism - Wikipedia

    en.wikipedia.org/wiki/Medical_volunteerism

    Volunteering in international healthcare facilities is gaining popularity. Volunteer efforts in dentistry are widespread in the underdeveloped world. The World Dental Federation (Federation Dentaire Internationale, FDI) has defined the term Dental Volunteer as "A qualified and registered/licensed dentist who provides time and work free of ...

  5. Healthcare risk algorithm had 'significant racial bias' - AOL

    www.aol.com/news/2019-10-26-healthcare-risk...

    There's more evidence of algorithms demonstrating racial bias. Researchers have determined that a "widely used" risk prediction algorithm from a major (but unnamed) healthcare provider had a ...

  6. Volunteer bias - Wikipedia

    en.wikipedia.org/?title=Volunteer_bias&redirect=no

    This page was last edited on 28 September 2015, at 06:39 (UTC).; Text is available under the Creative Commons Attribution-ShareAlike 4.0 License; additional terms may apply.

  7. Nonprobability sampling - Wikipedia

    en.wikipedia.org/wiki/Nonprobability_sampling

    Examples of nonprobability sampling include: Convenience sampling, where members of the population are chosen based on their relative ease of access. Such samples are biased because researchers may unconsciously approach some kinds of respondents and avoid others, [5] and respondents who volunteer for a study may differ in important ways from ...

  8. California investigating racial bias in healthcare algorithms

    www.aol.com/news/california-investigating-racial...

    California Atty. Gen. Rob Bonta sent a letter to hospital CEOs requesting a list of all their algorithmic software in an investigation of racial bias.

  9. List of medical ethics cases - Wikipedia

    en.wikipedia.org/wiki/List_of_medical_ethics_cases

    A 40-year experiment conducted by the U.S. Public Health Service withheld standard medical advice and treatment from a poor minority population with an easily treatable disease. The experiment targeted black male farmers who were told they needed to be treated for 'bad blood', [27] but who were, in fact, syphilitic. In addition to many ...