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Young (1996), North and Griffin (1993) stated that this would almost certainly lead to severe bias.
In particular, we may face severe bias in parameter estimation if we simply ignore censoring (below detection limit) or do not carefully handle it.
Ignoring unobserved heterogeneity that arises when unobserved factors influence duration can lead to a severe bias in the estimates of the covariate effects (Lancaster, 1990).
He also accuses Hsiang's team of "severe bias in sample selection" and says that his analysis of the same data did not support the climate-conflict link.
Simple recording errors can usually be detected by simple rules, but systematic and procedural errors, which are known to cause severe bias to the study outcome [28], can rather be detected by high complex rules.
Indeed, while reliable basic statistics are often missing or suffering from severe bias [6] mobile phones are one of the fastest growing technology in the developing world with penetration rates ranging from 65% in Uganda to 83% in Ghana [7].
Similar(18)
These moments have low variance and no severe biases, and they compare favorably with estimators obtained by maximum likelihood.
Overlapping generations might produce severe biases in temporal estimates, which are probably reduced by longer sampling interval [ 54- 56].
This violation of an important assumption of parametric statistics may result in severe biases, particularly in significance testing.
These recovered genes were broadly distributed in the phylogenetic tree of vertebrate OR genes without severe biases toward particular OR families.
Second, even if the above approach was valid, there are severe biases introduced as a result of unequal library and group sizes.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com