Simple bootstrap statistical inference using the SAS system
- 28 May 1999
- journal article
- Published by Elsevier BV in Computer Methods and Programs in Biomedicine
- Vol. 60 (1), 79-82
- https://doi.org/10.1016/s0169-2607(99)00016-4
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.Keywords
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