Sentence examples for assumption of missing from inspiring English sources

Standard statistical methods for the analysis of censored or incomplete observations all require the assumption of missing at random to some degree, and none of these methods adjust for the potential bias introduced by post hoc subset selection.

To address missing data issues, the full information maximum likelihood (FIML, Muthén and Muthén 1998 2012) was used under the assumption of missing at random (MAR).

In the case of incomplete or missing data, it can be shown that the correct likelihood and estimates for incomplete data can be obtained under the assumption of missing at random (Rubin, 1976).

The quantitative evidence provided is based on PISA 2012 data modelling with the assumption of missing completely at random (Little and Rubin 2002), an assumption which may not be realistic.

How the tests perform under the assumption of missing at random or even informative missingness remains an open research problem.

This article is the first attempt of its kind to carry out the tests for independence under the assumption of missing completely at random.

To help address this limitation, we performed a sensitivity analysis, which demonstrated a high level of accuracy even when we increased the assumption of missed cases, but inferences based on these values should be guarded.

However, most did not alter the assumptions of missing data from the primary analysis.

Those with missing outcome data were compared by study arm to assess assumptions of missing at random.

Results based on the imputation model seem to be robust to modest departures from the assumptions of missing at random behind the imputation, based on sensitivity analyses.

Structural equation models were fitted using Full Information Maximum Likelihood estimation to allow maximising the available data with missing values 30 under the assumption of data missing at random.