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Selection bias, initially viewed as a missing dependent variable problem, may be reformulated as an ordinary omitted explanatory variable.
Less than 1%% of data were missing on other covariates, after accounting for cases missing dependent variables.
Imputed values for missing dependent variable items were calculated separately for males and females using mean substitution at the level of participants.
In the regression model the data item of the partly missing covariate functioned as the dependent variable and the corresponding binary data item (which indicated when the partly missing covariate was observed and when it was not) served as a missing dependent variable data item.
When NONMEM or S-ADAPT datasets are used, the program will search the headers for typical names such as: ID (Subject Identifier), DV (Dependent Variable), MDV (Missing Dependent Variable), and TIME (Elapsed Time).
Only data records where the dependent variable was observed (i.e. where the missing dependent variable data item was '0') was used during the estimation of the regression model parameters in D and Ξ.
Similar(54)
In addition, it corrects the approximation due to missing speed dependent dynamic mass in conventional reaction wheel assembly microvibration analysis.
Conversely, repeat cytology with surveillance has an inherent risk of missing HGSILs, dependent on the laboratory performance, has the risk of poor compliance, and may inversely increase the psychological burden for women with cytological abnormalities that are not further assessed.
Notwithstanding or even because of the missing Ca2+-dependent regulation, we were able to identify the in vitro function of Ca2+ as co-substrate with the applied system.
However, no other U12-type snRNA was found, and it would therefore seem likely that this species is missing U12-dependent splicing.
This suggests the probability to be missed is dependent on its' own value.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com