The phrase "adjustment of statistics" is correct and usable in written English.
It can be used when discussing the modification or alteration of statistical data or figures for accuracy or clarity.
Example: "The adjustment of statistics was necessary to reflect the true impact of the policy changes on the community."
Alternatives: "modification of data" or "alteration of figures."
While adjustment of the statistics of individual groups for this response cannot be done precisely, we can make use of their answer to augment contact-level-hours in groups with those in public activities done as part of these groups and avoid double counting.
On the basis of this complete set the time courses were analyzed by means of ANOVA models with repeated measurements including adjustment of F-statistics and correction of degrees of freedom.
Below we will briefly mention problems connected to (1) the residence status of people who experience a vital event or migration, (2) measurement and definition of international migration, (3) regularization of illegal or undocumented migrants and (4) post-census adjustments of population statistics.
Competitive gene set testing methods that correctly account for correlation among gene-level test statistics, either through sample permutation, parametric approximation of the sample permutation distribution or correlation adjustment of parametric test statistics, include SAFE [ 31, 33, 34], GSEA [ 35], GSA [ 36] and CAMERA [ 32].
Other options were left unchanged, including the default compositional adjustment of alignment score statistics and gap scores of −(11+ k) for gaps of length k.
Unlike for the continuous statistics, regression adjustment of this discrete statistic tends to increase estimation bias; all of the models tend to underestimate | τ | after the GLM-adjustment (Additional file 1: Figure S6).
The paired Student's t-test was used to compare data at two different time points, with adjustment of the t-statistics whenever indicated, to take into account the presence of several measurements in the patient studied.
In a recent study comparing these adjustments with other types of statistics in a different setting, Steyerberg et al [ 22] found that the split-sample approach tended to underestimate performance, cross-validation performed poorly on some statistics that were not normally distributed, and bootstrapping performed best overall.
Although five of the median predictions change slightly upon adjustment of suspect signs, the overall statistics are barely affected with a new RMSE of 1.083, R2 of 0.639, ρ of 0.809, 21 correct predictions, and an AAE of 0.735.
It provides a mechanism to help reduce the under-reporting of deaths among indigenous peoples in official statistics, and allows adjustment of historical data to obtain improved estimates of the mortality experience of indigenous peoples.
