Your English writing platform
Discover LudwigExact(6)
The striking differences in estimates when compared to numerous epidemiological surveys conducted primarily by means of questionnaires and retrospective information are likely to depend on the use of prospective diary recordings performed by the students during a 3-week period and the inclusion of low-intensity headaches.
However, two studies showed a change in estimates when the trend was modelled as non-linear.
There were no major differences in estimates when the sample data rather than weighted data were used.
If this is not possible, it is worth assessing the change in estimates when either one of them or both of them are included in a model.
In addition, we evaluated the change in estimates when including intermediate variables: smoking, alcohol intake, parity, preterm delivery, social support, mode of delivery, BMI, preterm delivery and depression prior to pregnancy.
Results were insensitive (less than a 2% change in results) to whether ARS symptoms onset dates were used to adjust estimated infection dates, a change to data exclusion rule II, and the use of alternative model C. MDRI estimates increased by 2 4% when changing to model B, which was the most sensitive to the data exclusion rules (4 10% increase in estimates when changing to data exclusion rule II).
Similar(54)
We assumed that the examination, for the cohort effect, of global trends and second differences combined, may help in estimating when the control measures became effective and their impact on the disease trend.
These results suggest SMAP is adding value to model simulations, providing higher-accuracy estimates of landscape FT states compared to models and, in some cases, even in-situ estimates, when representativeness errors are properly accounted for in the validation analysis.
In summary, assuming that within-subject correlation is a result of event dependence will result in biased estimates when, in fact, it is due to heterogeneity in the data.
This resulted in a fall in VE estimates when adjusted for age.
As in the Bradford Hill considerations for causation, the GRADE approach considers consistency in effect estimates when evaluating confidence in the association and rating the quality of evidence (Schunemann et al. 2011).
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