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Exact(53)
When data are missing, analyzing records that are completely observed may cause bias or inefficiency.
In this paper we discuss issues around external generalizability of single-center studies, and methodological issues that may cause bias.
Our results show that disregarding value uncertainty may cause bias by underestimating true uncertainty in the opportunity set.
Intention-to-treat (ITT) analysis of randomized controlled trials (RCTs) may cause bias when compliance is poor.
The conventional randomized allocation of treatments to plots may cause bias and variable precision in the presence of trends (including periodicity) and spatial autocorrelation.
It is possible that these respondents have different distributions of characteristics compared to others, which may cause bias.
Similar(6)
Ignoring the survey sampling weights may cause biased estimators and erroneous confidence intervals.
However, strong similarities exist between models (members of an ensemble) which may cause biased climate response toward models with strong similarities.
Not equal-interval scale may cause biased scale.
WRF outputs have higher precision than do observations, which may cause biases in WRF output.
For these per-assay analyses, it is desirable to exclude bioassays with too small number of non-inactives, because those small-size assays may cause biased results.
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CEO of Professional Science Editing for Scientists @ prosciediting.com