"filled in data" is correct and usable in written English.
You can use it when speaking about or referring to information or data that has been added to a form or document, for example, "I filled in the data on the form and sent it off."
When the filled in data set is analysed in NONMEM, the imputed values are analysed as if they are the true values, without taking the uncertainty in the imputations into account.
Each of the filled in data sets are then analysed and the estimates are combined to receive one set of estimates, which means that the imputed values are not considered to be the true values and the uncertainty in the imputed values are taken into account [ 19].
Oracle's Mr Henley has got rid of a quarter of the people in his accounts-payable department who were doing nothing but filling in data from expenses forms.
To fill in data gaps, the report recommends compiling the often-scattered data sets collected by academic scientists and stepping up the monitoring of turtles in the water with more tagging and aerial or boat surveys.
Fortunately, satellite data provide a way of filling in data gaps for areas with no ground-based monitoring.
A final map will be generated using data from satellites, censuses, and other sources, with statistical methods filling in data gaps.
The dynamical extension and modification of data types have been made possible also for non technical users through a user friendly web interface fully integrated in the platform and very similar to the one used to fill in data.
To this goal, non technical users should be enabled to create, extend and modify the whole data scheme, if possible through the same user friendly web interface used to fill in data.
The HSTF was used to enhance the mortality linkage by filling in data gaps, to confirm the vital status of the cohort members at the end of the follow-up period and to evaluate the results of the mortality linkage.
Expectation Maximization (EM) algorithm is often used for filling in missing data using available data from the entire time series (Junninen et al. 2004; Dempster et al. 1977).
Data fusion involves filling in missing data from two surveys in order to obtain a "synthetic" set of data that can be considered as generated from a population of relevance to the original surveys.
