Sentence examples for missing data model from inspiring English sources

Due to their different properties, they are sensitive to many factors, such as data distribution, missing data, model size, and sample size (Hu and Bentler 1999; Fan and Sivo 2005; Barrett 2007).

Despite this, more sophisticated modelling of the missing data model could commence by allowing this interaction.

Now that model (5) has replaced model (2), we refer to model (5) as the missing data model.

However, appropriate analyses of data not missing at random highly depend on the choice of the postulated missing data model [ 36].

Here we also describe ten baseline covariates that were thought, a priori, to be potential predictors in the missing data model.

This is because this model describes why data are missing, and so we also refer to this model as the missing data model.

Three missing data models were examined: 1. Missing completely at random (MCAR): Missingness was imposed randomly on the X variable.

We varied the amount of missing data, the missing data models and the amount of skewness, and evaluated the performance of KS test in diagnosing issues with the imputation models under these different scenarios.

In order to overcome the problems associated with the estimation of MNAR missing data models using selection models, models for the repeated attempts to obtain outcome data have been proposed [ 12- 15].

Further epidemiological and demographic data were taken from the literature and missing data modeled with DisMod II to quantify DALYs using the methods from the Global Burden of Disease (GBD) 2004 update published by the World Health Organization (WHO).

The principal contribution of this paper is the use of empirical evidence to explore the plausibility of different missing data models in the context of a smoking cessation trial.