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Africa currently has the lowest childhood vaccination coverage worldwide. If the full benefits of childhood vaccination programmes are to be enjoyed in sub-Saharan Africa, all countries need to improve on delivery of vaccines to achieve and sustain high coverage. In this paper, we reviewed trends in vaccination coverage, dropouts rates and explored the country-specific predictors of a fully immunised child (FIC) in Western Africa. We utilized datasets from Demographic and Health Surveys available for Benin, Burkina Faso, The Gambia, Ghana, Guinea, Cote d’Ivoire, Liberia, Mali, Niger, Nigeria, Senegal, Sierra Leone and Togo to obtain prevalence estimates of vaccination for Bacillus Calmette-Guerin, Polio, Measles and Diphtheria, Pertussis and Tetanus vaccines in children aged 12 – 23 months. We also calculated the DPT1-to-DPT3 and DPT1-to-Measles dropouts, and the proportions of the fully immunised child (FIC). Factors predictive of FIC within each country were explored using Chi-squared tests and multivariable logistic regression models.
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This document contains replication material and supplementary analyses for "Citizenship Regimes and the Politicization of Immigrant Groups"
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Computer code and supporting data files to reproduce figures in the manuscript.
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1000 simulated data sets stored in a list of R dataframes used in support of Reisetter et al. (submitted) 'Mixture model normalization for non-targeted gas chromatography / mass spectrometry metabolomics data'. These are results after normalization using variance stabilizing normalization (Huber et al. 2002).
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Stata file
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1000 simulated data sets stored in a list of R dataframes used in support of Reisetter et al. (submitted) 'Mixture model normalization for non-targeted gas chromatography / mass spectrometry metabolomics data'. These are results after normalization using Batch Normalizer (Wang et al. 2012).
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This is the supplementary material (revised version) of DCLN paper published in proceedings of IJCNN 2015. The original source is available at "https://sourceforge.net/projects/dcln/".
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1000 simulated data sets stored in a list of R dataframes used in support of Reisetter et al. (submitted) 'Mixture model normalization for non-targeted gas chromatography / mass spectrometry metabolomics data'. These are simulated data sets that include batch effects and data truncation and are not yet normalized.
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MP endocytosis data
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1000 simulated data sets stored in a list of R dataframes used in support of Reisetter et al. (submitted) 'Mixture model normalization for non-targeted gas chromatography / mass spectrometry metabolomics data'. These are results after normalization using EigenMS (Karpievitch et al. 2014).
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  • Software/Code
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