The phrase "adjustment may provide" is correct and usable in written English.
It can be used when discussing the potential benefits or outcomes of making an adjustment in a particular context.
Example: "After reviewing the data, we believe that the adjustment may provide significant improvements in performance."
Alternatives: "modification could offer" or "change might yield".
We think that such feedback effects do exist, with the most important being that the central government may adjust the rules and policies regarding demolition as a result of early anti-demolition protests; further, such adjustments may provide opportunities for protests at later stages.
The use of 'admission frequency' as additional adjustment variable may provide a more accurate HSMR.
To find a proper prognostic model, contrary to using the highest number of precise parameters that describe the variability of the analyzed data presented as time series, it is of crucial importance to understand that too large adjustment of series may provide either the description of the signal itself or the random noise (that may show accidental regularity in a definite number of attempts).
Alternatively, a meta-analysis based on primary data with subsequent adjustment for identified covariates may provide more solid evidence.
First, we found a very strong relation between these A1C levels and use of diabetes medications (data not shown), suggesting that adjustment for self-reported use of diabetic medications may provide reasonable adjustment for disease severity.
Furthermore, prognostic models have an important role in randomized controlled trials (RCT), for stratification [ 1] and statistical analyses that explicitly consider prognostic information, such as covariate adjustment [ 2, 3], and may provide realistic and evidence-based expectations to relatives.
29 Datasets that contain physiological data, such as the National Surgical Quality Improvement Programme data, may provide superior risk adjustment.
In light of that variability and the relationship between systemic exposure and clinical benefit and toxicities, dose adjustments based on trough plasma concentrations may provide a method to optimise therapy with pazopanib by maintaining therapeutically effective blood levels, while minimising AEs whenever possible.
The obtained knowledge on the implementation challenges may provide an input to adjustment of the programme theory e.g. through introducing a gender differentiation of the intervention.
Automated machine learning techniques may provide approaches to model adjustment that could minimize manual recalibration and allow larger scales of dissemination.
