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  2. Moderation (statistics) - Wikipedia

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

    The third variable is referred to as the moderator variable (or effect modifier) or simply the moderator (or modifier). [1] [2] The effect of a moderating variable is characterized statistically as an interaction; [1] that is, a categorical (e.g., sex, ethnicity, class) or continuous (e.g., age, level of reward) variable that is associated with ...

  3. Mendelian randomization - Wikipedia

    en.wikipedia.org/wiki/Mendelian_randomization

    In epidemiology, Mendelian randomization (commonly abbreviated to MR) is a method using measured variation in genes to examine the causal effect of an exposure on an outcome. Under key assumptions (see below), the design reduces both reverse causation and confounding, which often substantially impede or mislead the interpretation of results ...

  4. Confounding - Wikipedia

    en.wikipedia.org/wiki/Confounding

    An operational confounding can occur in both experimental and non-experimental research designs. This type of confounding occurs when a measure designed to assess a particular construct inadvertently measures something else as well. [20] A procedural confounding can occur in a laboratory experiment or a quasi-experiment. This type of confound ...

  5. Glossary of experimental design - Wikipedia

    en.wikipedia.org/wiki/Glossary_of_experimental...

    Test plan: a written document that gives a specific listing of the test procedures and sequence to be followed. Treatment: A treatment is a specific combination of factor levels whose effect is to be compared with other treatments. Treatment combination: The combination of the settings of several factors in a given experimental trial. Also ...

  6. Spurious relationship - Wikipedia

    en.wikipedia.org/wiki/Spurious_relationship

    Graphical model: Whereas a mediator is a factor in the causal chain (top), a confounder is a spurious factor incorrectly implying causation (bottom). In statistics, a spurious relationship or spurious correlation [1] [2] is a mathematical relationship in which two or more events or variables are associated but not causally related, due to either coincidence or the presence of a certain third ...

  7. Scientific control - Wikipedia

    en.wikipedia.org/wiki/Scientific_control

    For example, if the fertilizer was spread by a tractor but no tractor was used on the unfertilized treatment, then the effect of the tractor needs to be controlled. A scientific control is an experiment or observation designed to minimize the effects of variables other than the independent variable (i.e. confounding variables). [1]

  8. NFL Week 14 betting: 7 best lines, props and more, including ...

    www.aol.com/sports/nfl-week-14-betting-7...

    They are 11-1, with the 10-2 Eagles right behind them in the conference and the 10-2 Vikings narrowly trailing in the division. They get a tough test on Thursday night against the Green Bay Packers.

  9. Interaction (statistics) - Wikipedia

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

    Interaction effect of education and ideology on concern about sea level rise. In statistics, an interaction may arise when considering the relationship among three or more variables, and describes a situation in which the effect of one causal variable on an outcome depends on the state of a second causal variable (that is, when effects of the two causes are not additive).