Analysis of left-censored longitudinal data with application to viral load in HIV infection.

@article{JacqminGadda2000AnalysisOL,
  title={Analysis of left-censored longitudinal data with application to viral load in HIV infection.},
  author={H{\'e}l{\`e}ne Jacqmin-Gadda and Rodolphe Thi{\'e}baut and Genevi{\`e}ve Ch{\^e}ne and Daniel Commenges},
  journal={Biostatistics},
  year={2000},
  volume={1 4},
  pages={355-68}
}
The classical model for the analysis of progression of markers in HIV-infected patients is the mixed effects linear model. However, longitudinal studies of viral load are complicated by left censoring of the measures due to a lower quantification limit. We propose a full likelihood approach to estimate parameters from the linear mixed effects model for left-censored Gaussian data. For each subject, the contribution to the likelihood is the product of the density for the vector of the completely… CONTINUE READING

Citations

Publications citing this paper.
Showing 1-10 of 42 extracted citations

References

Publications referenced by this paper.
Showing 1-10 of 21 references

Clinical progression of HIV-1 infected patients according to the viral response during the first year of anti-retroviral treatment

  • R. THIÉBAUT, P. MORLAT, +5 authors G. for the GECSA.
  • AIDS 14, 971–978.
  • 2000
1 Excerpt

Similar Papers

Loading similar papers…