Claris Shoko

Doctor of Statistics_Biostatistics

A Markov Model to estimate Mortality due to HIV/AIDS using viral load levels based states and CD4 cell counts: A Principal Component Analysis approach


Journal article


Shoko C., Chikobvu D., Bessong PO
Infectious Disease and Therapy, vol. 7(4), 2018, pp. 457-471


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Cite

APA   Click to copy
C., S., D., C., & PO, B. (2018). A Markov Model to estimate Mortality due to HIV/AIDS using viral load levels based states and CD4 cell counts: A Principal Component Analysis approach. Infectious Disease and Therapy, 7(4), 457–471. https://doi.org/10.1007/s40121-018-0217-y


Chicago/Turabian   Click to copy
C., Shoko, Chikobvu D., and Bessong PO. “A Markov Model to Estimate Mortality Due to HIV/AIDS Using Viral Load Levels Based States and CD4 Cell Counts: A Principal Component Analysis Approach.” Infectious Disease and Therapy 7, no. 4 (2018): 457–471.


MLA   Click to copy
C., Shoko, et al. “A Markov Model to Estimate Mortality Due to HIV/AIDS Using Viral Load Levels Based States and CD4 Cell Counts: A Principal Component Analysis Approach.” Infectious Disease and Therapy, vol. 7, no. 4, 2018, pp. 457–71, doi:10.1007/s40121-018-0217-y.


BibTeX   Click to copy

@article{shoko2018a,
  title = {A Markov Model to estimate Mortality due to HIV/AIDS using viral load levels based states and CD4 cell counts: A Principal Component Analysis approach},
  year = {2018},
  issue = {4},
  journal = {Infectious Disease and Therapy},
  pages = {457-471},
  volume = {7},
  doi = {10.1007/s40121-018-0217-y},
  author = {C., Shoko and D., Chikobvu and PO, Bessong}
}


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