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The technique is demonstrated by applying different potentiostatic treatments (variable potential and time) and measuring the amount of oxide formed and Sn dissolved during the treatment, and subsequently measuring the open circuit dissolution rate following the treatment.
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The approach focuses on estimating the effect of fluctuations in a treatment variable on an outcome.
Only the treatment variable of perfusing solution was found to be significant (p<0.05).
We consider estimation and inference on average treatment effects under unconfoundedness conditional on the realizations of the treatment variable and covariates.
The design used between-subjects variation and involved information feedback as the treatment variable.
The treatment variable is area of residence, rural vs. urban.
where treatment group is either the binary treatment variable or the intensity treatment.
cause or treatment variable X: an independent variable that influences the values of another variable.
Controlled variables should not be affected by the treatment variable of interest [42, 43].
With the gpscore programme, the study first took a logarithmic transformation of the treatment variable.
Section 3 describes our data and construction of the key treatment variable.
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