Impact of the non-distinctness and non-ignorability on the inference by multiple imputation in multivariate multilevel data: a simulation assessment
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Statistical Computation and Simulation"
DOI: 10.1080/00949655.2017.1288233
Abstract: ABSTRACT Multiple imputation (MI) is an increasingly popular method for analysing incomplete multivariate data sets. One of the most crucial assumptions of this method relates to mechanism leading to missing data. Distinctness is typically assumed,… read more here.
Keywords: multiple imputation; non ignorability; simulation; non distinctness ... See more keywords
Assessing Genetic Distinctness and Redundancy of Plant Germplasm Conserved Ex Situ Based on Published Genomic SNP Data
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DOI: 10.3390/plants12071476
Abstract: Assessing genetic distinctness and redundancy is an important part of plant germplasm characterization. Over the last decade, such assessment has become more feasible and informative, thanks to the advances in genomic analysis. An attempt was… read more here.
Keywords: published genomic; genetic distinctness; germplasm; distinctness redundancy ... See more keywords
AveDissR: An R function for assessing genetic distinctness and genetic redundancy1
Sign Up to like & getrecommendations! Published in 2017 at "Applications in Plant Sciences"
DOI: 10.3732/apps.1700018
Abstract: Premise of the study: Assessing genetic distinctness or redundancy is an important part of plant germplasm characterization. We previously introduced a new marker-based approach using the average dissimilarity of an accession to assess genetic distinctness… read more here.
Keywords: distinctness redundancy; genetic distinctness; assessing genetic; avedissr function ... See more keywords