| resilience-package {resilience} | R Documentation |
Identifying Predictors of Resilience to Stressors in Single-Arm Studies of Pre-Post Change
Description
Studies of resilience in older adults are typically conducted with a single-arm where everyone experiences the stressor. The simplistic approach of regressing change versus baseline yields biased estimates due to mathematical coupling and regression-to-the-mean. This function provides a method to correct the bias.
Details
| Package: | resilience |
| Type: | Package |
| Version: | 2023.1.1 |
| Date: | 2023-08.21 |
| License: | GPL (version 2) |
| LazyLoad: | yes |
The package contains a singe function prepost, which implements the method of Varadhan, Zhu, and Bandeen-Roche (2023) to correct for the bias of naive analysis of pre-post change in studies of resilience.
Author(s)
Ravi Varadhan.
Maintainers: Ravi Varadhan <rvaradhan@jhmi.edu>
References
Varadhan, R., Zhu, J., and Bandeen-Roche, K (2023). Identifying Predictors of Resilience to Stressors in Single-Arm Studies of Pre-Post Change. Biostatistics. To appear.