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The propensity score is useful to identify heterogeneity and also incorporates missing data into the analysis in a fashion different from the multiple imputations used with the primary Cox method.
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Methods of item and person parameter estimation which incorporate missing data in the item responses have long been developed and have been proved to be suitable (Lord [1974], [1983]; Mislevy et al. [1992]).
Sampling frequencies were correspondingly calculated to incorporate missing species in our phylogenies.
However, these methods are limited primarily by their lack of ability to incorporate missing data.
The DDL model is not able to incorporate missing taxa whereas the Cuban clade in this study included all described species.
Since the mixed regression model has the ability to incorporate missing data, the six drop-outs were included in the analysis.
Second, by virtue of its probabilistic nature, uncertain observations can be incorporated, missing data can be managed, and flexible queries to probe and explain predictions can be entertained [ 20, 21].
We then propose an agent-based architecture that migrates the complex processing loads outside the physical sensor network while incorporating missing characteristics such as autonomy, intelligence, and context awareness to the WSN.
We have developed a Bayesian method for Linkage analysis of Ordinal and Categorical traits (LOCate) that can analyze complex genealogical structure for family groups and incorporate missing data.
Further work is required to explicitly incorporate missing data, as this is likely to have a strong influence on the estimates of both the generation time and the reproductive number.
Moreover, distance matrices can more easily incorporate missing data: each sufficiently conserved gene, ubiquitous or not, can contribute to the pairwise distances between the organisms containing that gene.
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