bcpp: The Botswana Combination Prevention Project
In djrabideau/permuter: Randomization tests and confidence intervals
bcpp R Documentation
The Botswana Combination Prevention Project
Description
The Botswana Combination Prevention Project (BCPP) was a pair-matched HIV
prevention CRT to test whether a combination treatment and prevention
intervention could reduce population-level cumulative HIV incidence over 3
years of follow-up (Makhema et al, 2019). A total of 30 communities were
randomized: 15 to the intervention arm (combination treatment and prevention
package) and 15 to the control arm (enhanced standard of care). The primary
study endpoint was cumulative HIV incidence, measured at scheduled study
visits as time to HIV-infection within a cohort of individuals identified as
HIV-negative among a 20% random sample of eligible households at baseline.
That is, we have an interval-censored time-to-event outcome for each cohort
participant. Since the primary trial data are confidential, this is a
simulated data set, which was generated to mimic the BCPP by applying an
agent-based epidemic model to a dynamic network of simulated sexual
partnerships (Goyal, Blitzstein, and De Gruttola, 2013; Wang et al., 2014).
Usage
bcpp
Format
A data frame with 10465 observations and 5 variables:
- group
numeric, distinct for each randomised community
- pair.id
numeric, distinct for each matched pair
- treat
indicates assignment to the intervention arm
- left
left bound of interval censored weeks to HIV-infection
- right
right bound of interval censored weeks to HIV-infection
References
Goyal, R., Blitzstein, J., and De Gruttola, V. (2013). Simulating Bipartite
Networks to Reflect Uncertainty in Local Network Properties. Harvard
University Biostatistics Working Paper Series.
Makhema, J. et al. (2019). Universal Testing, Expanded Treatment, and
Incidence of HIV Infection in Botswana. New England Journal of Medicine 381,
230-242.
Wang, R., Goyal, R., Lei, Q., Essex, M., and De~Gruttola, V. (2014). Sample
size considerations in the design of cluster randomized trials of combination
HIV prevention. Clinical Trials 11, 309–318.
djrabideau/permuter documentation built on Jan. 9, 2025, 11:45 p.m.
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| bcpp | R Documentation |
The Botswana Combination Prevention Project
Description
The Botswana Combination Prevention Project (BCPP) was a pair-matched HIV prevention CRT to test whether a combination treatment and prevention intervention could reduce population-level cumulative HIV incidence over 3 years of follow-up (Makhema et al, 2019). A total of 30 communities were randomized: 15 to the intervention arm (combination treatment and prevention package) and 15 to the control arm (enhanced standard of care). The primary study endpoint was cumulative HIV incidence, measured at scheduled study visits as time to HIV-infection within a cohort of individuals identified as HIV-negative among a 20% random sample of eligible households at baseline. That is, we have an interval-censored time-to-event outcome for each cohort participant. Since the primary trial data are confidential, this is a simulated data set, which was generated to mimic the BCPP by applying an agent-based epidemic model to a dynamic network of simulated sexual partnerships (Goyal, Blitzstein, and De Gruttola, 2013; Wang et al., 2014).
Usage
bcpp
Format
A data frame with 10465 observations and 5 variables:
- group
numeric, distinct for each randomised community
- pair.id
numeric, distinct for each matched pair
- treat
indicates assignment to the intervention arm
- left
left bound of interval censored weeks to HIV-infection
- right
right bound of interval censored weeks to HIV-infection
References
Goyal, R., Blitzstein, J., and De Gruttola, V. (2013). Simulating Bipartite Networks to Reflect Uncertainty in Local Network Properties. Harvard University Biostatistics Working Paper Series.
Makhema, J. et al. (2019). Universal Testing, Expanded Treatment, and Incidence of HIV Infection in Botswana. New England Journal of Medicine 381, 230-242.
Wang, R., Goyal, R., Lei, Q., Essex, M., and De~Gruttola, V. (2014). Sample size considerations in the design of cluster randomized trials of combination HIV prevention. Clinical Trials 11, 309–318.
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