EFV: Pharmacoepidemiological HIV treatment data

Description

A hypothetical, simulated dataset which is line with the data-generating process of Schomaker et al. (2024) and inspired by the data of Bienczak et al. (2017); see references below.

Usage

data(EFV)

Arguments

Format

A data frame with 5000 observations on the following variables:

sex: The patient's sex
metabolic: Metabolism status (slow, intermediate, extensive) related to the single nucleotide polymorphisms in the CYP2B6 gene, which is relevant for metabolizing evafirenz and directly affects its concentration in the body.
log_age: log(age) at baseline
NRTI: Nucleoside reverse transcriptase inhibitor (NRTI) component of HIV treatment, i.e. abacavir, stavudine or zidovudine.
weight.0: log(weight) at time 0 (baseline)
efv.0: Efavirenz concentration at time 0 (baseline)
VL.0: Elevated viral load (viral failure) at time 0 (baseline)
adherence.1: Adherence at time 1 (if 0, then signs of non-adherence)
weight.1: log(weight) at time 1
efv.1: Efavirenz concentration at time 1
VL.1: Elevated viral load (viral failure) at time 1
adherence.2: Adherence at time 2 (if 0, then signs of non-adherence)
weight.2: log(weight) at time 2
efv.2: Efavirenz concentration at time 2
VL.2: Elevated viral load (viral failure) at time 2
adherence.3: Adherence at time 3 (if 0, then signs of non-adherence)
weight.3: log(weight) at time 3
efv.3: Efavirenz concentration at time 3
VL.3: Elevated viral load (viral failure) at time 3
adherence.4: Adherence at time 4 (if 0, then signs of non-adherence)
weight.4: log(weight) at time 4
efv.4: Efavirenz concentration at time 4
VL.4: Elevated viral load (viral failure) at time 4

References

Schomaker M, McIlleron H, Denti P, Diaz I. (2024) Causal Inference for Continuous Multiple Time Point Interventions, Statistics in Medicine, 43:5380-5400, see also https://arxiv.org/abs/2305.06645.

Bienczak et al. (2017) Determinants of virological outcome and adverse events in African children treated with paediatric nevirapine fixed-dose-combination tablets, AIDS, 31:905-915

Examples

Run this code

data(EFV)
str(EFV)

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