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For this purpose, one author (PCG), blinded to the results, evaluated the placebo interventions on a ranking scale from 1 to 5, where 1 represented a placebo treatment that most likely could produce physiological effects and 5 represented the opposite.
In an MTC comparing only pharmacological interventions on a subjective outcome (as is the case in illustrative example 1), one can then elicit this log-normal distribution for all heterogeneity variance parameters instead of the conventional weakly informative uniform distribution.
In explaining the setup to Jess, Nicky tips her off to an absurdly elaborate scheme that both depends on a dubious premise of efficacy and requires wide-reaching, real-world interventions on a superheroic scale.
However, the feasibility of implementing such interventions on a large number of farms is questionable.
These preliminary results lay the groundwork for implementing such interventions on a larger scale to evaluate their efficacy.
Patients in the Stone group required fewer interventions on a yearly basis than patients in the Stricture group (p = 0.045).
The described approach represents the backbone of a (still under development) innovative system for the optimisation of maintenance interventions on a fleet of trucks.
Patients in the Stone group had longer intervals between interventions than other patients (p = 0.016), which was also exemplified in the number of interventions on a yearly basis (p = 0.045).
The two dimensions for EC research, task integration and bodily engagement, can be used to distinguish embodiment interventions on a theoretical level while also providing guidance for instructional designers aiming to apply EC findings.
This concept has taken shape, in particular, in a local urban acupuncture project (de Solà Morales 1999; Lerner 2003), following the principle that small interventions on a local scale may have enormous potential in activating more extensive and complex processes.
A successful model will provide a suitable statistical structure for analysis of the effects of medical interventions on a patient's health status, and, possibly, offer new insights into the underlying disease process.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com