To assess whether weight change and number of adverse events were equivalent between middle-aged and older obese women, we used equivalence tests.
Equivalence tests based on the MCID of 5 were used to assess the equivalent properties between the two modes and the results showed the measurement scales between two modes were equivalent for all domains except for Sexual functioning domain.
Statistical equivalence tests based on linear regression techniques are advocated.
Furthermore, the procedures of distribution equivalence tests and their power functions are discussed.
We conducted equivalence tests comparing BGCNGHGI and BGCClimAdj model predictions using two one-sided tests [41].
The error bar represents the confidence interval used in the equivalence tests.
Equivalence tests showed that the predicted AGC from the training and validation models were equivalent to the observed AGC measurements.
Equivalence tests can be used to assess evidence for statistical equivalence, which can consequently facilitate theory falsification.
Our proposed algorithm provides a solution for finding the power of distribution equivalence tests considering the shift and scale parameters, respectively and simultaneously.
Equivalence tests are appropriate where the questions are more directly "are the groups similar, or effectively the same?" and not so much "are they different?" [20, 21].
Statistical equivalence tests were employed [53, 54] to assess whether the AGC predictions were statistically similar at (i.e., equivalent; p value >0.05) to the field-based AGC stocks.
