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  2. Moderation (statistics) - Wikipedia

    en.wikipedia.org/wiki/Moderation_(statistics)

    In statistics and regression analysis, moderation (also known as effect modification) occurs when the relationship between two variables depends on a third variable. The third variable is referred to as the moderator variable (or effect modifier ) or simply the moderator (or modifier ).

  3. Confounding - Wikipedia

    en.wikipedia.org/wiki/Confounding

    Confounding is defined in terms of the data generating model. Let X be some independent variable, and Y some dependent variable.To estimate the effect of X on Y, the statistician must suppress the effects of extraneous variables that influence both X and Y.

  4. Controlling for a variable - Wikipedia

    en.wikipedia.org/wiki/Controlling_for_a_variable

    The regression uses as independent variables not only the one or ones whose effects on the dependent variable are being studied, but also any potential confounding variables, thus avoiding omitted variable bias. "Confounding variables" in this context means other factors that not only influence the dependent variable (the outcome) but also ...

  5. Cognitive bias modification - Wikipedia

    en.wikipedia.org/wiki/Cognitive_bias_modification

    An example of a cognitive bias modification for interpretation (CBM–I) paradigm utilized in MindTrails, an online program developed by anxiety researchers at the University of Virginia. The program displays a cognitive task that disambiguates a scenario to be either positively or negatively valenced (correct responses highlighted in orange).

  6. Simpson's paradox - Wikipedia

    en.wikipedia.org/wiki/Simpson's_paradox

    One of the best-known examples of Simpson's paradox comes from a study of gender bias among graduate school admissions to University of California, Berkeley.The admission figures for the fall of 1973 showed that men applying were more likely than women to be admitted, and the difference was so large that it was unlikely to be due to chance.

  7. Propensity score matching - Wikipedia

    en.wikipedia.org/wiki/Propensity_score_matching

    The stronger the confounding of treatment and covariates, and hence the stronger the bias in the analysis of the naive treatment effect, the better the covariates predict whether a unit is treated or not. By having units with similar propensity scores in both treatment and control, such confounding is reduced.

  8. Mental health stigma is shifting. So why are adults ... - AOL

    www.aol.com/mental-health-stigma-shifting-why...

    Men are less likely to seek help. Gender can also be a predictor of whether patients choose to seek help. In 2022, 2.3 million male patients received mental health treatment versus 2.8 million women.

  9. Cognitive bias - Wikipedia

    en.wikipedia.org/wiki/Cognitive_bias

    Cognitive bias mitigation and cognitive bias modification are forms of debiasing specifically applicable to cognitive biases and their effects. Reference class forecasting is a method for systematically debiasing estimates and decisions, based on what Daniel Kahneman has dubbed the outside view .