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The question is: Can the analysis of surface change be adjusted and applied to substantial change?
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Models including BMI and BMI at age 20 were mutually adjusted for skirt/trouser size, BMI change was adjusted for BMI at age 20, trouser/skirt size was adjusted for BMI, and height was adjusted for body weight.
The number of states to change is adjusted operationally to achieve a random walk through the search space rather than just a random sample.
By contrast, the effect of baseline adiposity on CRS change was adjusted for baseline CRS and thus freed, at least partially, from the factors confounding the cross-sectional effect.
MHVS, Mill Hill Vocabulary Scale Regression analyses of cognitive function at year 4 were adjusted for age and sex; those of 4 year cognitive change were adjusted for baseline cognitive scores, age and sex, before myocardial infarction, angina, transient ischaemic attack, stroke ('vascular disease') and duration of diabetes, and Mill-Hill Vocabulary were controlled for in two separate steps.
The big change is adjusting to country living.
Percent changes were adjusted for sex, age, frequent intake of acute pain drugs, drinking, smoking, body mass index and education.
All the sales changes were adjusted for currency fluctuations.
Data were expressed as arbitrary units and fold changes were adjusted to the non-stimulated control cells.
The size of suggested parameter changes was adjusted according to the observed sensitivity of the model to changes in the parameters at any given time and the total range of parameter values was hard-limited to specific intervals (see Methods).
Not surprisingly, the refit arrives in both cases (A and B) closest to the original parameter value if only the one parameter that was changed is adjusted ((I) in A and B).
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CEO of Professional Science Editing for Scientists @ prosciediting.com