On the Performance of Multiple Imputation Based on Chained Equations in Tackling Missing Data of the African α 3.7 ‐Globin Deletion in a Malaria Association Study-Reference-Cited by-同舟云学术

On the Performance of Multiple Imputation Based on Chained Equations in Tackling Missing Data of the African α 3.7 ‐Globin Deletion in a Malaria Association Study

Published:2014-06-18 Issue:4 Volume:78 Page:277-289
ISSN:0003-4800
Container-title:Annals of Human Genetics
language:en
Short-container-title:Annals of Human Genetics

Author:

Sepúlveda Nuno¹²,Manjurano Alphaxard¹³⁴,Drakeley Chris¹⁴,Clark Taane G.¹

Affiliation:

1. London School of Hygiene and Tropical Medicine London UK

2. Centre of Statistics and Applications of University of Lisbon Lisbon Portugal

3. National Institute for Medical Research Mwanza Centre Tanzania

4. Joint Malaria Programme Moshi Tanzania

Funder

Wellcome Trust

Medical Research Council

Fundação para a Ciência e Tecnologia

Publisher

Wiley

Subject

Genetics (clinical),Genetics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/ahg.12065

Reference29 articles.

1. A comparison of imputation techniques for handling missing predictor values in a risk model with a binary outcome

2. Multilocus Association Mapping Using Variable-Length Markov Chains

3. A Unified Approach to Genotype Imputation and Haplotype-Phase Inference for Large Data Sets of Trios and Unrelated Individuals

4. African Genetic Diversity: Implications for Human Demographic History, Modern Human Origins, and Complex Disease Mapping

5. Comprehensive evaluation of imputation performance in African Americans

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