Replication Data for: Improving statistical power in severe malaria genetic association studies by augmenting phenotypic precision
Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)
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Title |
Replication Data for: Improving statistical power in severe malaria genetic association studies by augmenting phenotypic precision
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Identifier |
https://doi.org/10.7910/DVN/TH8WAW
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Creator |
Watson, James A.
Maitland, Kathryn Williams, Thomas N. White, Nicholas J. |
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Publisher |
Harvard Dataverse
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Description |
This is a replication dataset for the manuscript titled: "Improving statistical power in severe malaria genetic association studies by augmenting phenotypic precision." This dataset contains complete blood count data (platelet counts and total white blood cell counts) for severely ill patients enrolled in either studies of severe malaria or general severe febrile illness in Africa and Asia. For reproducibility of analyses we also provide parasite densities; hospital outcome; sickle trait status for the Kenyan children; plasma PfHRP2 for FEAST and Bangladesh adults; age. Variable Description: The package presented contains data and replication code. The code is also available on github repo: code is on this github repo: https://github.com/jwatowatson/Kenyan_phenotypic_accuracy |
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Subject |
Medicine, Health and Life Sciences
Severe malaria diagnostic biomarkers |
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Contributor |
Watson, James A.
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Relation |
https://github.com/jwatowatson/Kenyan_phenotypic_accuracy
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