Your English writing platform
Discover LudwigSuggestions(5)
Exact(10)
This note illustrates that the precision of parameters such as mean, prevalence and odds ratio can be biased when the data analysis ignores the sampling design, yielding to possibly erroneous conclusions.
Furthermore, the complete-case analysis may be biased when the data are not MCAR.
Estimates of double reduction can thus be expected to be biased when the formation of bivalents is not negligible.
Estimates of genetic parameters for single traits such as FCS can be biased when the data represent a selected subset of the population [ 33].
This 10% ratio was chosen because previous studies found that logistic regression tended to be biased when the prevalence in the dependent variable was lower than 10% [ 40].
Prevalences will be biased when the number of augmented events in a level (approximately (p + 1 ) / k ) is not small compared with the number of observed events.
Similar(50)
Estimators of τ have been constructed that are less biased or more precise under some circumstances, but all nonnegative estimators are biased when the true value of τ is close to zero [ 24].
Finally, fixed-effects estimates are biased when the time span is relatively short (Nieto and Rodrıguez 2011).
The standard ITT analysis under non-compliance is biased when the intervention has a moderate or large effect.
This agrees with other findings [ 36], that estimates are biased when the proportion of missing data exceeds 50%.
For example, estimates of the mean survival time were biased when the sample size was 100 patients and the hazard was decreasing (e.g. estimated bias = 5% without additional censoring).
More suggestions(15)
be imbalanced when the
be reconsidered when the
be sold when the
be attained when the
be recognized when the
be removed when the
be explained when the
be generated when the
be released when the
be addressed when the
be announced when the
be reported when the
be shedded when the
be notified when the
be discarded when the
Write better and faster with AI suggestions while staying true to your unique style.
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