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Tables 4, 5, 6 show descriptive statistics for control variables, and Table 7 shows parameter estimates for control variables.
These expert estimates for control, psychological demand, physical demand, social support, and noise were then applied to the job history database in the fathers' cohort.
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Because controls were sampled by proxy from resident lists in 2003 to represent the study base over the entire study period, exposure estimates for controls in the earlier time periods may have been higher than the actual exposure for these subjects, leading to a downward bias of our results.
Statistical features such as bubble size were estimated for control purpose.
To obtain the estimate for control, we introduce an auxiliary problem.
The BPND values calculated from the VT″ values estimated for control and blocking conditions (region-specific between 0.17 and 0.45) are somewhat less than those determined for [18F]NS10743 (between 0.24 and 0.76) and [11C]NS14492 (between 0.4 and 0.8) in porcine brain [20],[25].
‡ICC estimated for control group.
Sample size estimates corrected for control rates of change are displayed in Table 5. Sample size estimates based on changes in FA were smaller than sample size estimates based on other outcome measures.
Optimal error estimates for the control, state and adjoint state are derived.
Firstly, let us derive the a posteriori error estimates for the control u.
In Section 4, we derive a posteriori error estimates for the control and state approximations.
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CEO of Professional Science Editing for Scientists @ prosciediting.com