Simple bootstrap statistical inference using the SAS system
- PMID: 10430465
- DOI: 10.1016/s0169-2607(99)00016-4
Simple bootstrap statistical inference using the SAS system
Abstract
Nonparametric bootstrap statistical inference is a robust computer intensive method for generating estimates of statistical variability for which formulae are not known or asymptotic assumptions are not met. A SAS macro that implements simple nonparametric bootstrap statistical inference is presented with an example. The program code is easily generalized to any SAS procedure which includes a BY statement, and to cases of clustered data.