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However, the results obtained may differ and relevant outcomes are sensitive to the methodology employed.
Conclusions: We observed a positive association between long-term exposure to NO2 and SBP, after adjustment for transportation noise, which was sensitive to the methodology used to account for medication.
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Calculated probabilities of fatigue failure using probabilistic methods are even more sensitive to the analysis methodology and to input parameters used in the analyses.
The association was sensitive to the selected methodology to control for BP-lowering medication, and was stronger among participants with CVD, those living alone, and those exposed to more traffic and road traffic noise.
The proportion of mTSS non-progressors (≤0.5 points cut-off, linear extrapolation) remained significantly higher in the CZP group (93.5% (CZP 200 mg Q2W) and 90.4% (CZP 400 mg Q4W) vs 80.1% (placebo), p<0.05) and was not sensitive to the imputation methodology used for patients with fewer than two analysable mTSS (table 2).
In contrast, the data obtained with RiboZero RNA-seq were highly sensitive to the RNA extraction methodology.
The point estimates in this analysis were sensitive to the referent selection methodology, though the confidence intervals around the estimates were large compared to the magnitude of the effect.
The significant interaction between Shape and Number conditions in the early ERP components, and the significant distance effect in the late posterior component in the Number condition both indicate that the experimental paradigm and methodology were sensitive to the electrophysiological markers it intended to measure.
Comparisons with conventional methodologies do not permit a direct correlation: the fractal methodology proves to be sensitive to the measurement scale and to the calculation protocol.
Furthermore, place-conditioning methodologies can be sensitive to the effects of rewarding and aversive UCS-neutral environment pairings.
A standardised costing methodology was developed that is sensitive to the main expected drivers of local cost variation including demographic structure, epidemiology and location.
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CEO of Professional Science Editing for Scientists @ prosciediting.com