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Savage et al. (2010) adopt a mixture modelling approach, using a hierarchical Dirichlet process (DP) to perform integrative modelling of two datasets.
Our mixture modelling approach identified three behavioural states (Figure S1).
A brief description of the mixture modelling approach is presented in the Appendix.
Various scenarios of nonignorable missing data mechanisms were investigated by a sensitivity analysis based on the mixture modelling approach.
In this research, 104 out of 1440 infants are classified as large for gestational age using the mixture modelling approach.
While this work was under review, an alternative method of equalizing type I and II assay performance by applying a mixture modelling approach to β was published [ 21].
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Novel uses of automated flow cytometry technology for measuring levels of protein markers on thousands to millions of cells are promoting increasing need for relevant, customized Bayesian mixture modelling approaches in many areas of biomedical research and application.
Here, some of the more widely used algorithms to determine the cut-off in bacterial CGH studies were compared, along with two novel approaches, the MKD and mixture modelling approaches.
Imputation of missing survival times was based on a pattern-mixture modelling approach, in which we stratify subjects by their pattern of missing values, in our case LTFU status, and formulate distinct imputation models for each stratum [17].
Here, we present an alternative, Bayesian finite mixture-modelling approach.
Nevertheless, there are a number of advantages of this data-driven mixture-modelling approach.
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