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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. Scientific misconduct - Wikipedia

    en.wikipedia.org/wiki/Scientific_misconduct

    A reconstruction of the skull purportedly belonging to the Piltdown Man, a long-lasting case of scientific misconduct. Scientific misconduct is the violation of the standard codes of scholarly conduct and ethical behavior in the publication of professional scientific research.

  4. Observer bias - Wikipedia

    en.wikipedia.org/wiki/Observer_bias

    The definition can be further expanded upon to include the systematic difference between what is observed due to variation in observers, and what the true value is. [ 2 ] Observer bias is the tendency of observers to not see what is there, but instead to see what they expect or want to see.

  5. 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.

  6. Scientific integrity - Wikipedia

    en.wikipedia.org/wiki/Scientific_integrity

    Research integrity or scientific integrity became an autonomous concept within scientific ethics in the late 1970s. In contrast with other forms of ethical misconducts, the debate over research integrity is focused on "victimless offence" that only hurts "the robustness of scientific record and public trust in science". [3]

  7. 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]

  8. Information bias (epidemiology) - Wikipedia

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

    A Dictionary of Epidemiology, sponsored by the International Epidemiological Association, defines this as the following: "1. A flaw in measuring exposure, covariate , or outcome variables that results in different quality (accuracy) of information between comparison groups.

  9. 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]