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  2. Local average treatment effect - Wikipedia

    en.wikipedia.org/wiki/Local_average_treatment_effect

    However, it may lack external validity by ignoring the effect of non-compliance that is likely to occur in the real-world deployment of a treatment method. The LATE can be estimated by a ratio of the estimated intent-to-treat effect and the estimated proportion of compliers, or alternatively through an instrumental variable estimator.

  3. Reduction strategy - Wikipedia

    en.wikipedia.org/wiki/Reduction_strategy

    Parallel outermost and Gross-Knuth reduction are hypernormalizing for all almost-orthogonal term rewriting systems, meaning that these strategies will eventually reach a normal form if it exists, even when performing (finitely many) arbitrary reductions between successive applications of the strategy.

  4. Funnel plot - Wikipedia

    en.wikipedia.org/wiki/Funnel_plot

    A funnel plot is a scatterplot of treatment effect against a measure of study precision. It is used primarily as a visual aid for detecting bias or systematic heterogeneity. A symmetric inverted funnel shape arises from a ‘well-behaved’ data set, in which publication bias is unlikely. An asymmetric funnel indicates a relationship between ...

  5. Response surface methodology - Wikipedia

    en.wikipedia.org/wiki/Response_surface_methodology

    In statistics, response surface methodology (RSM) explores the relationships between several explanatory variables and one or more response variables. RSM is an empirical model which employs the use of mathematical and statistical techniques to relate input variables, otherwise known as factors, to the response.

  6. Design of experiments - Wikipedia

    en.wikipedia.org/wiki/Design_of_experiments

    One of the most important requirements of experimental research designs is the necessity of eliminating the effects of spurious, intervening, and antecedent variables. In the most basic model, cause (X) leads to effect (Y). But there could be a third variable (Z) that influences (Y), and X might not be the true cause at all.

  7. Observer bias - Wikipedia

    en.wikipedia.org/wiki/Observer_bias

    Research has shown that in the presence of observer bias in outcome assessment, it is possible for treatment effect estimates to be exaggerated by between a third to two-thirds, symbolising significant implications on the validity of the findings and results of studies and procedures. [1]

  8. Einstellung effect - Wikipedia

    en.wikipedia.org/wiki/Einstellung_effect

    An example water jar puzzle. The water jar test, first described in Abraham S. Luchins' 1942 classic experiment, [1] is a commonly cited example of an Einstellung situation. . The experiment's participants were given the following problem: there are 3 water jars, each with the capacity to hold a different, fixed amount of water; the subject must figure out how to measure a certain amount of ...

  9. Moderation (statistics) - Wikipedia

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

    If the interaction effect A*B is still significant, we will be more confident in saying that there is indeed a moderation effect; however, if the interaction effect is no longer significant after adding the nonlinear term, we will be less certain about the existence of a moderation effect and the nonlinear model will be preferred because it is ...