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As noted before, intensive margins of adjustment are in general more rapid than extensive ones due to differences in adjustment costs, which will depend on the nature of employment protection in place and the situation in the labour market when an economy is hit by a shock.
In addition, another major limitation is the differences in adjustment for covariates.
Conflicting results may be due to differences in adjustment, power to detect small differences, and/or differences in patient populations.
Second, inconsistent results may be due to differences in adjustment for important potential confounders beyond clinical case mix (for example, level of function and living situation).
The reason for this difference is uncertain, but may reflect the differences in the populations being studied and/or differences in adjustment for other POPs.
No meaningful differences in adjustment factors between 2-year-old and adult dams were observed for the less-numerous triplet lambs (not shown).
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Finally, the differences in adjustments for potential confounders such as age, sex, race, depression, level of education, diabetes, hypertension, kidney disease, physical activity, and/or season that the sample was obtained may explain some of the different study results reported in the systematic reviews and meta-analyses.
The lower statistical power of the present study as well as a difference in adjustment of confounders may account for the differential results.
Future studies are needed to further examine gender differences in psychosocial adjustment following treatment for CAD, as adjustment for traditional clinical variables fails to explain sex differences in quality of life outcomes.
Future studies are needed to further examine gender differences in psychosocial adjustment following treatment for CAD, as adjustment for traditional clinical variables fails to explain sex differences in health related quality of life outcomes.
It is likely, by adjusting for renal function alone, that several more adjustments can be made, as many risk factors, such as hypertension and diabetes, and especially age, covary with renal function both in men and women. 1 6 The difference in adjustments was more pronounced with the CG formula than with the MDRD formula.
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