Description
Sample Size Calculation Tools.
Description
Functions for sample size estimation and simulation in clinical trials. Includes methods for selecting the best group using the Indifference-zone approach, as well as designs for non-inferiority, equivalence, and negative binomial models. For the sample size calculation for non-inferiority of vaccines, the approach is based on Fleming, Powers, and Huang (2021) <doi:10.1177/1740774520988244>. The Indifference-zone approach is based on Sobel and Huyett (1957) <doi:10.1002/j.1538-7305.1957.tb02411.x> and Bechhofer, Santner, and Goldsman (1995, ISBN:978-0-471-57427-9).
README.md
ssutil
ssutil is an R package providing a suite of tools for sample size estimation and power simulation in a variety of clinical trial designs. It includes methods for binomial, normal, and negative binomial endpoints, as well as support for equivalence and non-inferiority testing scenarios. It also includes functionality for power and sample size calculation for selecting the best group using the indifferent-zone approach for normal and binomial outcomes.
Features
- Empirical power simulation for:
- Binomial, normal, and negative binomial endpoints
- Equivalence and non-inferiority designs
- Best group selection using the indifferent-zone approach for normal and binomial outcomes
- Sample size utilities for various design types
Installation
# Install from GitHub (requires remotes or devtools)
remotes::install_github("johnaponte/ssutil")
Vignettes
Learn how to use ssutil through these worked examples: