@article{fdi:010082059,
  title = {{M}ethodological approaches for analysing data from therapeutic efficacy studies},
  author = {{Y}oudom, {S}. {W}. and {B}asco, {L}eonardo},
  editor = {},
  language = {{ENG}},
  abstract = {{S}everal anti-malarial drugs have been evaluated in randomized clinical trials to treat acute uncomplicated {P}lasmodium falciparum malaria. {T}he outcome of anti-malarial drug efficacy studies is classified into one of four possible outcomes defined by the {W}orld {H}ealth {O}rganization: adequate clinical and parasitological response, late parasitological failure, late clinical failure, early treatment failure. {T}hese four ordered categories are ordinal data, which are reduced to either a binary outcome (i.e., treatment success and treatment failure) to calculate the proportions of treatment failure or to time-to-event outcome for {K}aplan-{M}eier survival analysis. {T}he arbitrary transition from 4-level ordered categories to 2-level type categories results in a loss of statistical power. {I}n the opinion of the authors, this outcome can be considered as ordinal at a fixed endpoint or at longitudinal endpoints. {A}lternative statistical methods can be applied to 4-level ordinal categories of therapeutic response to optimize data exploitation. {F}urthermore, network meta-analysis is useful not only for direct comparison of drugs which were evaluated together in a randomized design, but also for indirect comparison of different artemisinin-based combinations across different clinical studies using a common drug comparator, with the aim to determine the ranking order of drug efficacy. {P}revious works conducted in {C}ameroonian children served as data source to illustrate the feasibility of these novel statistical approaches. {D}ata analysis based on ordinal end-point may be helpful to gain further insight into anti-malarial drug efficacy.},
  keywords = {{P}lasmodium falciparum ; {D}rug resistance ; {A}rtemisinin ; {O}rdinal outcome ; {M}ultiple comparison ; {N}etwork meta-analysis ; {R}anking ; {A}nalytics ; {D}ata science ; {CAMEROUN} ; {AFRIQUE} ; {ASIE}},
  booktitle = {},
  journal = {{M}alaria {J}ournal},
  volume = {20},
  numero = {1},
  pages = {228 [5 p.]},
  year = {2021},
  DOI = {10.1186/s12936-021-03768-1},
  URL = {https://www.documentation.ird.fr/hor/fdi:010082059},
}