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Estimates of design effect will be examined.
Although independence of treatment effects is assumed, the magnitude of any interaction effect will be examined (but is not intended for the main analyses).
Second, the correction for probe design type and batch effect will be examined and finally a few notes on differential methylation will be given.
Potential moderators of intervention effect will be examined including demographics, ethnicity, parity, mental health (also an outcome), smoking status and weight loss history.
Similar(56)
In addition, the overlap between these three areas and their synergistic effects will be examined as related to vascular tissue engineering.
For fast design and optimization purpose, a finite element method (FEM) is adopted for sensor performance evaluation, packaging-induced signal variation, and thermal/packaging effects will be examined in this research.
If an interaction is detected (P < 0.05), simple effects will be examined.
The possibility of sex interactions and non-linear effects will be examined.
Cohort effects will be examined using decade of birth as a covariate.
Whether the detected differences in reach of this component are linked to socially differential intervention effects will be examined in effect analyses.
The influence of age, sex, social status, and the perceived quality of the respective doctor-patient-relation on the effects will be examined.
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CEO of Professional Science Editing for Scientists @ prosciediting.com