%0 Journal Article %1 Cole1999 %A Cole, S R %D 1999 %J Computer methods and programs in biomedicine %K DataInterpretation Humans MultipleSclerosis MultipleSclerosis:blood MultipleSclerosis:immunology Software Statistical %N 1 %P 79-82 %T Simple bootstrap statistical inference using the SAS system. %U http://www.ncbi.nlm.nih.gov/pubmed/10430465 %V 60 %X 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.

@article{Cole1999, 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.}, added-at = {2023-02-03T11:44:35.000+0100}, author = {Cole, S R}, biburl = {https://www.bibsonomy.org/bibtex/24938e10cb68ece063052185a2fa53ed2/jepcastel}, interhash = {b1220865e2563f4f7bf512f493ece995}, intrahash = {4938e10cb68ece063052185a2fa53ed2}, issn = {0169-2607}, journal = {Computer methods and programs in biomedicine}, keywords = {DataInterpretation Humans MultipleSclerosis MultipleSclerosis:blood MultipleSclerosis:immunology Software Statistical}, month = {7}, note = {3751<m:linebreak></m:linebreak>Resampling}, number = 1, pages = {79-82}, pmid = {10430465}, timestamp = {2023-02-03T11:44:35.000+0100}, title = {Simple bootstrap statistical inference using the SAS system.}, url = {http://www.ncbi.nlm.nih.gov/pubmed/10430465}, volume = 60, year = 1999 }