To cite in publications use:

Sharifi-Malvajerdi, S, Zhu, F, Fogarty, CB, Fay, MP, Fairhurst, RM, Flegg, JA, Stepniewska, K, and Small, DS (2019). Malaria parasite clearance rate regression: an R software package for a Bayesian hierarchical regression model. Malaria Journal

Corresponding BibTeX entry:

  @Article{,
    title = {Malaria parasite clearance rate regression: an R software
      package for a Bayesian hierarchical regression model},
    author = {Saeed Sharifi-Malvajerdi and Feiyu Zhu and Colin B.
      Fogarty and Michael P. Fay and Rick M. Fairhurst and Jennifer A.
      Flegg and Kasia Stepniewska and Dylan S. Small},
    journal = {Malaria Journal},
    year = {2019},
    month = {Jan},
    day = {05},
    volume = {18},
    number = {1},
    pages = {4},
    abstract = {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-stage approach in which
      the WWARN Parasite Clearance Estimator or PCE is used to estimate
      parasite clearance rates and then the estimated parasite
      clearance is regressed on the covariates. However, the recently
      developed Bayesian Clearance Estimator instead leads to more
      accurate results for hierarchial regression modelling which
      motivated the authors to implement the method as an R package,
      called ``bhrcr''.},
    issn = {1475-2875},
    doi = {10.1186/s12936-018-2631-8},
    url = {https://doi.org/10.1186/s12936-018-2631-8},
  }