Your English writing platform
Free sign upExact(31)
8 9 To address the issue of missing follow-up data in a cohort study, as suggested in the literature, 36 we tested the assumption that the subsample with missing data had a similar baseline exposure (similar GPRI) as the non-missing subsample by comparing baseline GPRI between the participants and dropouts.
Therefore, after consultation with the biostatistician, we assumed the missing data had no impact on our conclusions.
Second came the paper taking another look at the New York Fed analysis and showing that the original authors' treatment of missing data had biased the results.
Filtering markers based on amount of missing data had little to no effect.
Men with missing data had lower socioeconomic status and educational attainments.
Therefore, it is unlikely that missing data had a significant impact on our results.
Similar(29)
Initial GDP estimates are based on partial information; missing data has to be based on the recent past.
The missing data has to be imputed as the inferences made from complete data are often more accurate and reliable than those made from incomplete data [15].
The main assumption is that the missing data has linear relation with available data.
Additionally, their ability to handle situations of missing data has also been reported [16].
The presence and impact of missing data has received little attention in the RBA literature.
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