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  2. Type I and type II errors - Wikipedia

    en.wikipedia.org/wiki/Type_I_and_type_II_errors

    A type II error, or a false negative, is the erroneous failure in bringing about appropriate rejection of a false null hypothesis. [1] Type I errors can be thought of as errors of commission, in which the status quo is erroneously rejected in favour of new, misleading information. Type II errors can be thought of as errors of omission, in which ...

  3. False positives and false negatives - Wikipedia

    en.wikipedia.org/wiki/False_positives_and_false...

    The false positive rate (FPR) is the proportion of all negatives that still yield positive test outcomes, i.e., the conditional probability of a positive test result given an event that was not present.

  4. Medical error - Wikipedia

    en.wikipedia.org/wiki/Medical_error

    The research literature showed that medical errors are caused by errors of commission and errors of omission. [28] Errors of omission are made when providers did not take action when they should have, while errors of commission occur when decisions and action are delayed. [ 28 ]

  5. Transcription error - Wikipedia

    en.wikipedia.org/wiki/Transcription_error

    [3] Using an audit protocol tool, it was identified that human entry errors range from 0.01% when entering donors' clinical follow-up details, to 0.53% when entering pathological details, highlighting the importance of an audit protocol tool in a medical research database.

  6. Scientific misconduct - Wikipedia

    en.wikipedia.org/wiki/Scientific_misconduct

    Falsification is manipulating research materials, equipment, or processes or changing or omitting data or results such that the research is not accurately represented in the research record. Plagiarism is the appropriation of another person's ideas, processes, results, or words without giving appropriate credit.

  7. Data fabrication - Wikipedia

    en.wikipedia.org/wiki/Data_fabrication

    In scientific inquiry and academic research, data fabrication is the intentional misrepresentation of research results. As with other forms of scientific misconduct, it is the intent to deceive that marks fabrication as unethical, and thus different from scientists deceiving themselves. There are many ways data can be fabricated.

  8. 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]

  9. Reporting bias - Wikipedia

    en.wikipedia.org/wiki/Reporting_bias

    The publication or nonpublication of research findings, depend on the nature and direction of the results. Although medical writers have acknowledged the problem of reporting biases for over a century, [12] it was not until the second half of the 20th century that researchers began to investigate the sources and size of the problem of reporting biases.