Sentence examples for because of different samples from inspiring English sources
20Coefficients are not always identical because of different samples used (e.g., only married applicants for spousal employment) or different covariates (marital status not needed for spousal employment).
Moreover, the comparison of performance in our sample with PISA results is limited in terms of comparability because of different sampling rationales and different background models: PISA included students with special educational needs, whereas the German NA calibration study did not.
Available historical data from Taiwan are not directly comparable because of different sampling methods and because susceptibility testing methods have been applied in various hospital settings over time (Table), which limits our ability to monitor trends.
However, the mortalities in eastern, middle, and western areas in this study differed from those of the third national all-death-causes survey, possibly because of different sampling places [12].
This is because big differences exist in the parameters of different samples.
Furthermore, differential cell counts were performed manually which is problematic because of the effects of different sample handling and inter-observer variability.
This divergence may be the result of different sampling because the samples for this study were taken from the middle part of the jejunum.
It may be a simple case of different sample sizes.
This may be because of a different cut-off when considering the age at onset of LOFA (≥25 years in the present study and ≥20 in [5]), and because of the different samples size (5 cFA, 5 LOFA, 3 carriers and 3 controls in [5]).
Because of the different sampled time points of the two datasets from hickory and A. thaliana, the stages were firstly unified according to morphological comparison and totally four phases were captured.
In addition to the different methodologies applied, care should be taken when comparing and summarizing results from the different studies because of the different sample sizes and power effects across the studies.
