Sentence examples for imputation to provide from inspiring English sources

A general methodological framework was presented for using imputation to provide information for missing spatial data from nongeocoded addresses from a GIS.

To allow for intention-to-treat principles, we used GLMs with multiple imputation to provide conservative estimates for missing data.

As simulation studies previously showed that analyses using completed data sets derived from multiple imputation tend to provide less biased estimates compared to complete case analyses, we used multiple imputation of HR status to account for missing data [ 14, 15].

As a solution to the NPC sample coverage limitation, we describe an extension of a previously reported imputation model to provide the desired statewide classifications and corresponding estimates of the ecological landscape state indicator provided by NPC extent.

We used 10 multiple imputation sets to provide stability of results.

Using a multiple imputation method to provide the best corrected estimates of HRQoL in the sample studied, it was possible to assess and quantify the impact of non- and partial responses on the validity of HRQoL estimates.

Multiple imputation is used to provide estimated total case counts based on complete data (geocodes plus imputed nongeocodes) with a measure of uncertainty.

Although we recognise the importance of correct specification of the imputation model in order to provide valid results of MI, we focus on whether a detailed description of variables included in the imputation model and information on the imputation method are provided, rather than judging the adequacy of the imputation model.

Results from these five data sets were combined using the multiple imputation module in SPSS to provide pooled results.

To evaluate the impact of non and partial responses on the validity of the HRQoL estimates, multiple imputation methods were applied to provide the best-corrected estimates against which the magnitude of the biases were assessed.

Next, we use Van Buuren, Boshuizen, and Knook's (1999) multiple imputation by chained equations approach to provide an illustration of imputing student background data missing from the TIMSS 2007 datafile for Tunisia.