DRpower

Summary sheet

Main use-cases	Study design, prevalence estimation
Authors	Bob Verity, Shazia Ruybal-Pesántez
Latest version	v1.0.2
License	MIT
Website	https://mrc-ide.github.io/Drpower
Code repository	https://github.com/mrc-ide/Drpower
Publication	Unpublished
Tutorial author	Bob Verity
Tutorial date	10-Dec-23

Purpose

The DRpower R package is primarily intended for pfhrp2/3 deletion studies, however, it can also be applied to drug resistance data - or indeed and data that takes the form of a prevalence estimate (numerator and denominator). It can be used in two main ways:

1. In the design phase of a study to perform power and sample size calculations. To tell us how many sites we need to recruit, and how many samples per site.
2. In the analysis phase of a study to estimate the prevalence of the marker of interest and optionally to compare this value against a set threshold.

The approach uses a Bayesian model to estimate the prevalence, which takes into account the potential of intra-cluster correlation in multi-site studies.

Existing resources

• The DRpower website gives details of the statistical arguments behind the tool as well as installation instructions and worked tutorials for both design and analysis phases.
• The pfhrp2/3 Planner provides a web-based interface to the DRpower tool. It does not have all the functionality of the R package, but can be used to carry out simple design and analysis tasks in a user-friendly way.

Citation

Please use the following citation:

@Manual{,
    title = {DRpower: Study design and analysis for pfhrp2/3 deletion prevalence studies},
    author = {Bob Verity and Shazia Ruybal},
    note = {R package version 1.0.2},
  }