Sentence examples for form of imputation from inspiring English sources

Exact(4)

A better statistical procedure might have been some form of imputation.

4) Individual Mean Individual mean imputation can also be used as a simple form of imputation in such scenarios.

This approach does not depend on any assumptions about the sources of missing data and we do not regard it as a form of imputation.

The simplest form of imputation is single imputation where a missing observation for a specific variable for each person is replaced by a reasonable value such as, for example, the mean of the observed values for that variable or as "last observation carried forward" (missing values are replaced by the last observed value of that variable) in longitudinal studies.

Similar(56)

Application of true ITT analysis requires some assumptions and some form of imputations for the missing data [20],[20].

It also shows how the methods perform under different forms of imputation, although no consistent pattern emerges favoring one form over the others.

As recommended by Hollis and Campbell [ 68], sensitivity analyses will be undertaken across these analyses to examine the potential influence of the missing data using various forms of imputation.

In this section we concentrate our discussion on a Bayesianly proper form of multiple imputation using the method of chained equationsd.

The first is to ensure we have at hand the correct functional form of the imputation model, and the second is to preserve higher-order dependencies (Collins, Schafer, & Kam, 2001; Rubin, 1996; Schafer, 2001).

In addition, the latent regression methodology used to estimate population characteristics which, in practice, is combined with the method of plausible values (a form of multiple imputation) to produce achievement measures for secondary analyses, continues to be scrutinized as to whether such measures are suitable inputs for econometric modeling (Jacob and Rothstein 2016).

This approach would treat all covariates as responses and would account for missing values, a reason for exclusion of several studies, through a form of multiple imputation.

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