A Markov model to estimate mortality due to HIV/AIDS using CD4 cell counts based states and viral load: a principal component analysis approach

Journal article

Delson Chikobvu, Claris Shoko
Biomedical Research-tokyo, vol. 29(15), 2018 1, pp. 3090-3098

Cite

APA Click to copy
Chikobvu, D., & Shoko, C. (2018). A Markov model to estimate mortality due to HIV/AIDS using CD4 cell counts based states and viral load: a principal component analysis approach. Biomedical Research-Tokyo, 29(15), 3090–3098.

Chicago/Turabian Click to copy
Chikobvu, Delson, and Claris Shoko. “A Markov Model to Estimate Mortality Due to HIV/AIDS Using CD4 Cell Counts Based States and Viral Load: a Principal Component Analysis Approach.” Biomedical Research-tokyo 29, no. 15 (December 1, 2018): 3090–3098.

MLA Click to copy
Chikobvu, Delson, and Claris Shoko. “A Markov Model to Estimate Mortality Due to HIV/AIDS Using CD4 Cell Counts Based States and Viral Load: a Principal Component Analysis Approach.” Biomedical Research-Tokyo, vol. 29, no. 15, Dec. 2018, pp. 3090–98.

BibTeX Click to copy

@article{delson2018a,
  title = {A Markov model to estimate mortality due to HIV/AIDS using CD4 cell counts based states and viral load: a principal component analysis approach},
  year = {2018},
  month = dec,
  day = {1},
  issue = {15},
  journal = {Biomedical Research-tokyo},
  pages = {3090-3098},
  volume = {29},
  author = {Chikobvu, Delson and Shoko, Claris},
  month_numeric = {12}
}