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Complete-case analysis (excluding patients who have incomplete data) will only be unbiased (although not optimal) if the data are MCAR.
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Importantly, the post hoc tests (e.g., examining the effect of lexicality for the read task only) are unbiased, since they consider only portions of the original data used to define the clusters.
Meta-analyses can overcome small sample sizes in primary studies, but are unbiased only if all data from all relevant cut-off scores are included.
The estimated treatment effects can be assumed to be unbiased only if matching stratified analyses or regression techniques are sufficient enough to fully deal with risk imbalance that is, when treatment allocation is ignorable in terms of baseline risk.
Scientists should be unbiased.
When DBS are collected under field conditions, the recalculated values are unbiased, but only about half the HbA1c values are measured reliably, calling into question the validity of the other half.
Existing statistical methods for adjusted indirect comparison and mixed treatment comparison are unbiased, but only if some assumptions are fulfilled.
Our estimates generated using Mendelian randomization are unbiased only if the SNPs analyzed do not affect cancer risk through causal pathways other than those involving TL.
This measure of reliability is unbiased only if the validation bulls come from a random sample but the bulls in this study were selected on the basis of PI.
In line with previous years, the overwhelming number of readers and users believe our coverage is trustworthy although only around half believe it is unbiased.
Since is unbiased if and only if for all, is estimable if and only if (4.3).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com