"diminished precision" is correct and usable in written English
It is often used to refer to a lack of accuracy or detail. For example, "The low-resolution image lacked diminished precision compared to higher resolution images."
Some information on birth weight and all information on physical activity was self-reported, and thus has an inherent potential for diminished precision.
Multiple imputation has several advantages over complete-case analyses, wherein deleted observations lead to diminished precision of the outcome measure, resulting from the reduction of sample size and consequent bias, when the missing data are not randomly distributed.
A recent meta-analysis of 11 studies of the clinical examination in comatose patients following cardiac arrest found that various examiners – nurses, residents, and attending physicians – are moderately to substantially in agreement about components of the GCS and brainstem reflexes, with only one study showing diminished precision among less experienced observers [ 5, 11].
Energy supply, information transfer and data processing are also incorporated, without diminishing precision.
An additional consideration for the assessment of PPs is the potential for excessive variability particularly during protein transfer from the gel to the membrane, which might diminish the precision of the assay.
This can diminish both precision and recall for the left match and exact match evaluation.
Random exposure measurement error can bias the odds ratio and other epidemiological effect estimates, and also diminish the precision and power of the epidemiologic studies.
However, the innovation of potentially superior platforms (transanal endoscopic microsurgery/transanal minimally invasive surgery) designed to enable improved access and visualization to the rectum has allowed surgeons to excise lesions more proximally in the rectum and with improved precision, yielding diminished recurrence rates.
In these models, there is often a high degree of covariation among pollutants, and between pollutants and other model variables [ 4, 5], which typically diminishes effect estimate precision and decreases power to identify air pollutant effects [ 6].
This may indicate technical limitations of microarray analysis due to the use of nucleotide hybridization, which can introduce biases such as cross-hybridization of multiple labeled target transcripts to the same probe, increasing the rate of false positives and diminishing the quantification precision in regard to RNA-Seq.
Therefore, risk assessment precision could be diminished by nondifferential misclassifications of type 2 diabetes status.
