The phrase "accounts for sample" is not correct as it lacks clarity and context in written English.
It could be used in a context where you are discussing the factors or variables that explain or justify a particular sample in research or analysis.
Example: "The study accounts for sample size and demographic diversity to ensure accurate results."
Alternatives: "explains the sample" or "justifies the sample".
The P value for a comparison between two groups represents a standardized effect size that accounts for sample size.
The Chao-Sørensen-Est similarity model should mitigate some of these effects, since it includes an estimate of unseen species and also accounts for sample size difference (the latter indirectly, via species/MOTU counts at each pair of sites).
Here we assume that we do not have information on HIV status for those who agreed to test but declined post-test counseling (consent level B), and we predict HIV prevalence in the sample consisting of individuals in consent levels A and B only using an ordinary probit model and a probit model that accounts for sample selection.
The model accounts for sampling variability within studies and also account for between-study variability through the inclusion of random effects.
For purposes of statistical testing, we require a method that accounts for sampling of both individuals within populations and sequences within each pooled-population sample.
The method for evaluating population differences is also statistically well behaved and accounts for sampling at both the population and sequencing levels.
This approach accounts for sampling errors in the maximum likelihood estimates of the parameters and has a low false positive rate.
All analyses were performed using SAS version 9.2 software (SAS Institute, Cary, NC) and accounted for sample weights for complex sampling methods of datasets.
We tested and accounted for sample bias prior to analyses.
Kang, H.M. et al. Variance component model to account for sample structure in genome-wide association studies.
Kang, H. M. et al. Variance component model to account for sample structure in genome-wide association studies.
