Sentence examples for multiple auxiliary data from inspiring English sources

Third, coMCRF model, which may use one or multiple auxiliary data sets, has already been proposed (Li et al. 2013, 2015).

Because the coMCRF model may incorporate multiple auxiliary data sets, it may have multiple cross-field transition probability terms, which represent the cross-field relationships between the primary categorical field and multiple different auxiliary fields.

Therefore, exploiting multiple auxiliary sources of data is essential for predicting genes related to polygenic traits, and many existing methods have been developed for this purpose.

In Section 2, we define notation and describe the WKM estimator derived from the midpoint imputed data for interval-censored data with multiple auxiliary variables.

Of the 36 trials reporting more than 10% missing data, 16 (44%) performed a sensitivity analysis: 4 used complete case, 2 used simple imputation, 1 used simple and multiple imputation, 6 used multiple imputation, 2 made adjustments using auxiliary data, and 1 approach was unclear.

Sensitivity analyses will be carried out using multiple imputation, which will include auxiliary data such as ECOG performance status and baseline secondary outcomes such as physical activity measures.

The CNSTAT report favored inverse probability weighted generalized estimating equation (GEE) methods and multiple imputation, in part because auxiliary data associated with missingness can be incorporated into the analysis [ 18].

With the current surge in metagenomic data sets compression strategies must be developed to accommodate large data sets that are comprised of multiple sequences and a greater proportion of auxiliary data, such as sequence headers.

In a situation with multiple auxiliary variables, we fit two working PH models to the midpoint imputed data to reduce multiple auxiliary variables into two scalars.

In this paper we adapt and modify the ideas [ 17] to incorporate multiple auxiliary variables into the WKM method for a situation of interval-censored data with potential dependent censoring.

The RA will help analyze the data base and potentially complement it with auxiliary data.