Malaria parasite clearance rate regression: an R software package for a Bayesian hierarchical regression model

Malaria parasite clearance rate regression: an R software package for a Bayesian hierarchical regression model

Abstract Background Emerging resistance to anti-malarial drugs has led malaria researchers to investigate what covariates (parasite and host factors) are associated with resistance. In this regard, investigation of how covariates impact malaria parasites clearance is often performed using a two-stag...

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Bibliographic Details
Main Authors: Saeed Sharifi-Malvajerdi, Feiyu Zhu, Colin B. Fogarty, Michael P. Fay, Rick M. Fairhurst, Jennifer A. Flegg, Kasia Stepniewska, Dylan S. Small
Format: Article
Language:English
Published: BMC 2019-01-01
Series:Malaria Journal
Subjects:
Bayesian methods
Hierarchical linear models
Clearance rate
Plasmodium falciparum
Online Access:http://link.springer.com/article/10.1186/s12936-018-2631-8

Internet

http://link.springer.com/article/10.1186/s12936-018-2631-8

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