Can Confidence Intervals Be Interpreted?. Naimi, A. I. & Whitcomb, B. W. American Journal of Epidemiology. Paper doi abstract bibtex The confidence interval is a fundamental tool for quantifying uncertainty due to sampling associated with a point estimate. However, the manner in which that un
@article{naimi_can_nodate,
title = {Can {Confidence} {Intervals} {Be} {Interpreted}?},
url = {https://academic.oup.com/aje/article/doi/10.1093/aje/kwaa004/5717184},
doi = {10/ggskqq},
abstract = {The confidence interval is a fundamental tool for quantifying uncertainty due to sampling associated with a point estimate. However, the manner in which that un},
language = {en},
urldate = {2020-07-08},
journal = {American Journal of Epidemiology},
author = {Naimi, Ashley I. and Whitcomb, Brian W.},
}
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