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If (X^neq 0), then it can be shifted to the origin by changing a variable [82]: (Y t)=X t -X^).
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This example shows how investigators can facilitate the interpretation of RCTs focusing on HRQL or functional outcomes by changing a categorical variable into a binary variable.
by changing an iterative variable j from j = γ ≥ K, to N − 1.
Such problems can be diminished by changing a number of variables at a time.
For each iteration a step was made to a new model by changing a given number of the variable states (either from normal to replaced or vice versa).
The conventional method of studying a process by changing one variable at a time and keeping the other variables at a constant level does not depict the combined effect of all the factors involved.
However, the relationships have been studied by changing one variable at a time.
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.
Treatment could also be a discrete variable in case that different levels of treatment are considered; 2 effect or outcome variable Y: a dependent variable which can be manipulated by changing the variable that represents the cause; 3 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. .
Further more, a new logic gate design by changing the variable under control is proposed.
By changing the variable x t − 1 2 = y and in view of Theorem A, we obtain (4.8).
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