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An understanding of context helps to develop appropriate interventions, and estimate the potential for behaviour change [ 15, 16].
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On the basis of the intention-to-treat analysis, the random effects logistic regression model confirmed that there was no important interaction between the two interventions, and estimated an adjusted rate ratio of 1.11 (P=0.038) for the GP's letter and 1.12 (P=0.029) for the leaflet.
The aim of the analysis was to describe the feasibility and acceptability of the trial and CaPE intervention and estimate effect sizes for group differences in attitude, adherence, clinical and quality of life outcomes.
Scaling the area of hysteresis loop S against the various amplitudes of external intervention h0 from 0.1 to 1.0, we could work out the basic scaling trend of destructive metabolic apoptosis of treated tumors with a sort of intervention, and estimate relevant treatment capacity.
The evaluation also aimed to inform the design of a streamlined shorter intervention and estimate scale up costs.
All resource utilization and related costs will be captured to assess the total cost of the intervention and estimate both affordability and feasibility.
The pilot trial aimed to test the systematic identification of eligible patients, assess the acceptability of the intervention and estimate potential treatment effects for a larger trial.
We expect that potentially willing donors will be enthusiastic about participating in this intervention and estimate at least an additional 20%% incremental increase in live donor activation with the financial assistance intervention.
The actual costs of developing the intervention and estimates of the costs of participants' medications based on their actual medication regimens were used in analyses.
Calculation of PIF requires information regarding the proportion of the population being exposed before and after the intervention and estimates of the RR for each exposure category of the included associations.
We compared trends in inputs, organisation, processes, and outcomes of critical care in a representative sample of English hospitals before and after the final quarter of 2000; explored associations of trends with each component intervention; and estimated the cost effectiveness of the interventions overall.
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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