Determining sample size for a binary diagnostic test in the presence of verification bias
Determining sample size for a binary diagnostic test in the presence of verification bias
复制标题
在存在验证偏差的情况下确定二元诊断测试的样本量
DOI：
10.1080/10543406.2018.1452029
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发表时间：
2018-03
影响因子：
1.1
通讯作者：
Tao Jiang
中科院分区：
文献类型：
--
作者：
Guogen Shan;Hua Zhang;Tao Jiang
ABSTRACT To compare a new binary diagnostic test with the gold standard, sensitivity and specificity are the two common measurements used to evaluate the new test. When not all the patients are verified by the gold standard due to time, budget, or cost considerations, several approaches have been proposed to compute sample size for such studies under the assumption of missing completely at random. However, the majority of them are based on asymptotic approaches that generally do not guarantee the type I and II error rates, and the remaining approaches use exact binomial distributions in sample size calculation but only the verified samples are used. In this article, for a study with verification bias, we propose computing exact sample sizes by using all the samples. The proposed approach is compared with the existing exact approach that compute sample size by using verified samples only, and the results show that the proposed approach requires fewer participants than the competitor.
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影响因子：
3.7
作者：
R. Lenth
通讯作者：
R. Lenth
DOI：
10.1007/978-1-4612-3894-2_7
发表时间：
1988
期刊：
--
影响因子：
--
作者：
J. Ghosh
通讯作者：
J. Ghosh
DOI：
10.1016/c2014-0-04776-4
发表时间：
2015-12
期刊：
--
影响因子：
--
作者：
G. Shan
通讯作者：
G. Shan
影响因子：
2
作者：
G. Shan
通讯作者：
G. Shan
DOI：
10.1002/9780470906514
发表时间：
2002-07
期刊：
--
影响因子：
--
作者：
Xiao-Hua Zhou;N. Obuchowski;D. McClish
通讯作者：
Xiao-Hua Zhou;N. Obuchowski;D. McClish