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When interpreting change scores in a randomised controlled trial (RCT) or another longitudinal study, it is vital to have knowledge about measurement properties like measurement error, responsiveness and interpretation values like minimal important change (MIC) and smallest detectable change (SDC).
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Meaningful aspects refer to the use of combined information, including interpretation, valuing, and selecting data.
Comparing the interpretation value of these two quantities to the overall survival (OS), both advantages and disadvantages can be seen.
All of these three concepts point to postmodern culture which emphasises the construction of reality through language [69] and pluralistic, individualized culture with a plethora of interpretations, values and styles [70].
For the interclass correlation we used the conventional coefficient interpretations: values of 0.40 0.75 are fair to good and values higher than 0.75 are excellent [ 29].
Hereby, the truth value of p ∈ P is encoded via p ⊕ and p ⊖. Now every classical two-valued interpretation assigns values to these two atoms as usual.
Table 1 Parameter interpretations, value ranges and sources of model ( 1 ) Param.
Both, however, reflected the mistake of believing that interpretation of values should not be affected by either change in circumstance or human nature.
Unfortunately, concepts of experimental design and statistics impacting validity and interpretation of values for average pregnancy rate frequently are ignored.
For the theoretical interpretation, the values related to the parameters that incorporate the effect of surface and grain direction are proposed and verified.
For correct interpretation, reference values of age-matched controls should be used [ 13].
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