Sentence examples for missing data proposed from inspiring English sources

Following the principle of handling missing data proposed by Longford et al. (2000) in diaries of alcohol consumption, E-M algorithm and multiple imputations are used to handle missing data on interval cases [ 16].

Many academic journals now emphasise the importance of reporting information regarding missing data and proposed guidelines for documenting the application of MI have been published.

An international agreement on recommended T, N and M assumptions for missing data is proposed in addition to another for the eventual inclusion of new variables for stage grouping.

For fault detection, a missing data approach is proposed for state estimation, based on which the T2 and Q statistics are constructed.

Many methods for how to deal with missing data have been proposed.

Missing data is an inevitable and common problem in clinical studies and other types of data analyses, particularly in retrospective series; a number of methods to prevent and to handle missing data have been proposed (Ibrahim et al, 2012; Little and D'agostino, 2012).

In this paper, an accurate missing data estimation method is proposed by combining Bayesian robust matrix factorization (BRMF) and particle swarm optimization (PSO).

Three characterizations of missing data mechanisms have been proposed: missing completely at random, missing at random (MAR), and missing not at random (MNAR) (Table 2).

Moreover, in order to extend the applicability of ST-IAA to signals in the missing data case, we also propose a short-time missing-data iterative adaptive approach (ST-MIAA) which can retrieve the missing data effectively and outperform ST-IAA and ST-SLIM in the missing data case.

In each group, the experts were also allowed to propose missing data elements and/or comment on the listed elements.

A classical way to cope with missing data is the EM algorithm proposed by Dempster et al. (1977).