HIV: HIV viral load study
In qrNLMM: Quantile Regression for Nonlinear Mixed-Effects Models
HIV R Documentation
HIV viral load study
Description
The data set belongs to a clinical trial (ACTG 315) studied in previous researches by Wu (2002) and Lachos et al. (2013). In this study, we analyze the HIV viral load of 46 HIV-1 infected patients under antiretroviral treatment (protease inhibitor and reverse transcriptase inhibitor drugs). The viral load and some other covariates were mesured several times days after the start of treatment
been 4 and 10 the minimum and maximum number of measures per patient respectively.
Usage
data(HIV)
Format
This data frame contains the following columns:
patida numeric vector indicating the patient register number.
inda numeric vector indicating the number patient on which the
measurement was made. It represents the subject number in the study.
daytime in days.
cd4cd4 count in cells/mm^{3}.
lgviralviral load in log10 scale.
cd8cd8 count in cells/mm^{3}.
Details
In order to fit the nonlinear data we sugest to use the Nonlinear model proposed by Wu (2002) and also used by Lachos et al. (2013).
Source
Wu, L. (2002). A joint model for nonlinear mixed-effects models with censoring and covariates measured with error, with application to aids studies. Journal of the American Statistical association,
97(460), 955-964.
Lachos, V. H., Castro, L. M. & Dey, D. K. (2013). Bayesian inference in nonlinear mixed-effects
models using normal independent distributions. Computational Statistics & Data Analysis, 64,
237-252.
qrNLMM documentation built on June 8, 2025, 11:48 a.m.
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| HIV | R Documentation |
HIV viral load study
Description
The data set belongs to a clinical trial (ACTG 315) studied in previous researches by Wu (2002) and Lachos et al. (2013). In this study, we analyze the HIV viral load of 46 HIV-1 infected patients under antiretroviral treatment (protease inhibitor and reverse transcriptase inhibitor drugs). The viral load and some other covariates were mesured several times days after the start of treatment been 4 and 10 the minimum and maximum number of measures per patient respectively.
Usage
data(HIV)Format
This data frame contains the following columns:
patida numeric vector indicating the patient register number.
inda numeric vector indicating the number patient on which the measurement was made. It represents the subject number in the study.
daytime in days.
cd4cd4 count in cells/
mm^{3}.lgviralviral load in log10 scale.
cd8cd8 count in cells/
mm^{3}.
Details
In order to fit the nonlinear data we sugest to use the Nonlinear model proposed by Wu (2002) and also used by Lachos et al. (2013).
Source
Wu, L. (2002). A joint model for nonlinear mixed-effects models with censoring and covariates measured with error, with application to aids studies. Journal of the American Statistical association, 97(460), 955-964.
Lachos, V. H., Castro, L. M. & Dey, D. K. (2013). Bayesian inference in nonlinear mixed-effects models using normal independent distributions. Computational Statistics & Data Analysis, 64, 237-252.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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