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Our department takes great care to obtain accurate recordings of times on our Code 60 data sheets, but the possibility remains that inaccurate data may affect our results.
Yue et al. (2013) and Jiang et al. (2014) examined how the systematic and random errors in SABER temperature data may affect the calculation of the amplitudes of the migrating terdiurnal tide and 9-/13.5-day 9-/13.5-days, respectively.
The lack of spatial temperature data may affect the number of survey participants who were able to make a reasonable guess that fell within ±1 °C in this article.
The presence of additional data may affect the results, as it may for any scientific analysis.
Several limitations of gene expression data may affect the conclusions of this study.
Consequently, any new, sampled individual as well as any new character data may affect the taxon characterization and/or the taxon delimitation.
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In fact, previous studies [ 21] pointed out that data reproducibility may affect data analysis and bring biases.
However, this would lead to a reduction in data and may affect the statistical power of the analysis.
The methodological approaches that are employed to overcome difficulties in income data collection may affect the relative position of individuals and households within the income distribution and our estimates of mobility inequalities.
Limitations include our cross-sectional analyses using ADNI data, which may affect the generalizability.
Second, the method of data collection may affect the veracity of responses, particularly in sensitive areas.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com