ACTG 315 Longitudinal Data: Viral Load and CD4+ T Cell Counts for Time-Varying Coefficient Models
1. The data were produced from AIDS Clinical Trials Group,ACTG 315 study, which is sponsored by NIAID/NIH. If you have any questions regarding the data, you may contact Dr. Hulin Wu by email: firstname.lastname@example.org.
2. The detailed biomedical findings from this study and more detailed description of the study design can be found from the primary and secondary publications of this study, Lederman et al (1998) and Connick et al. (2000) (see below for these references).
3. Mixed-effects varying-coefficient models (with measurement errors) have been proposed to fit this data set. See more details about this data set in the following references:
- Liang, Wu and Carroll (2003, Biostatistics)
- Wu and Liang (2004, Scand J Statist)
4. Early viral dynamics of this study was modeled by
- Wu, Kuritzkes and McClernon, et al (1999, J of Infect Dis)
- Wu and Ding (1999, Biometrics)
Some further viral dynamic analyses for this study (including long-term viral dynamics and covariates analyses) can be found in other pages of our website.
5. The viral load data below detection limit were imputed as 50 [or log10(50)=1.699]. Among total 53 patients accrued in this study, 46 patients are included for this analysis.
6. Please cite the following references if appropriate when you use the data in your paper:
1) Connick E, Lederman MM, Kotzin BL, et al. (2000), "Immune reconstitution in the first year of potent antiretroviral therapy and its relationship to virologic response," Journal of Infectious Diseases, 181:358-63.
2) Lederman MM, Connick E, Landay A, et al. (1998), "Immunologic responses associated with 12 weeks of combination antiretroviral therapy consisting of zidovudine, lamivudine and ritonavir: results of AIDS Clinical Trials Group Protocol 315," Journal of Infectious Diseases, 178: 70-79.
3) Liang H, Wu H and Carroll RJ (2003), "The relationship between virologic responses in AIDS clinical research using mixed-effects varying-coefficient models with measurement error," Biostatistics, 4, 297-312.
4) Wu, H. and Ding, A. (1999), "Population HIV-1 Dynamics in Vivo: Applicable Models and Inferential Tools for Virological Data from AIDS Clinical Trials," Biometrics, 55, 410-418.
5) Wu, H., Kuritzkes, D.R., and McClernon, D.R. et al. (1999), "Characterization of Viral Dynamics in Human Immunodeficiency Virus Type 1-Infected Patients Treated with Combination Antiretroviral Therapy: Relationships to Host Factors, Cellular Restoration and Virological Endpoints," Journal of Infectious Diseases, 179(4):799-807.
6) Wu H and Liang H (2004), "Backfitting random varying-coefficient models with time-dependent smoothing covariates," Scan. J. Statist. 31, 3-19.