Your English writing platform
Discover LudwigExact(3)
It is important to understand the assumptions that underlie such measurement error adjustments.
Plots show that, for all the exposures, more substantial measurement error adjustments arise if larger measurement errors are assumed.
Readers unfamiliar with structural equation modeling might consult Hayduk [ 19] or Bollen [ 20] and those desiring background on measurement error adjustments in the context of single indicators might see Hayduk [ 19, 21].
Similar(57)
The weighted kernel deconvolution approach is employed for measurement error adjustment and a new procedure for designing a variables plan allowing for uncertainty in the shape parameters of the underlying distribution is developed.
Measurement error adjustment.
Estimating the attenuation factor associated with the effect of each exposure variable or covariate on an outcome constitutes the first step for measurement error adjustment using regression calibration.
To quantify the impact of measurement error adjustment, we calculated the percent difference in the HRs [((HR – HR measurement error)/HR)*100], as well as the percent increase in width in the confidence intervals [((UCL LCL - UCL measurement error –L - UCLsuremeasurement)/(UCL–LCL)]*100], afterrorjustment.
Other plausible explanations for the discrepancies may be different study populations, exposure levels, measurement errors, adjustment of confounding variables, differences in outcome definitions, and sample sizes used in the studies.
On the other hand, the CMD burden of suboptimal diet might be underestimated in this study due to measurement error and adjustment for potential mediators (eg, blood pressure, BMI, blood lipids).
The cardiometabolic disease burden of individual dietary factors might have been underestimated due to the measurement error and adjustment of aetiological effect sizes for potential mediators (eg, blood pressure, body mass index and blood lipids).
Although the direction of a bias due to measurement error on an adjustment factor is generally difficult to predict, this observation might be attributable to LMP-based gestational age being more efficiently assessed in the subgroup of women with regular cycles.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com