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Lee et al. (2016) have considered effect of monotony on workers performance to improve the productivity.
Treatment could also be a discrete variable in case that different levels of treatment are considered; effect or outcome variable Y: a dependent variable which can be manipulated by changing the variable that represents the cause; a set of N variables (mathbf{Z} = {Z^{1}, Z^{2}, ldots, Z^{N}}), which describes the baseline characteristics of the objects of the study.
An estimation gives q n ~ 10− 3 Δ. Besides, an analysis of function f k and expressions (7), (14), and (18) show that at h/Δ → ∞, k c ~ (Δ/h)1/2, m L ~ (h/Δ 1/2, ω L ~ (Δ/h)1/4, and q n ~ (Δ/h)5/8, i.e., the considered effect takes place only in magnetic films and is absent in solid ferromagnetic materials.
Cohen [44] considered effect sizes accounting for 9% of the variance to be intermediate and 25% of the variance to be large.
We also considered effect modification (i.e. interactions).
We also considered effect modification by age, sex, and race.
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All variables considered effect-measure modifiers or confounders were included in the full model.
Factors that may affect immunologic assay results were considered effect-measure modifiers if the Breslow-Day p-value was < 0.5 (Breslow and Day 1980).
We considered effects of p < 0.05 significant.
We considered effects statistically significant if P < 0.05.
This mask ensured that we only considered effects in regions actually covered by the searchlight analysis.
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