Implication of inverse-probability weighting method in the evaluation of diagnostic test with verification bias
10.3760/cma.j.issn.0254-6450.2014.03.025
- VernacularTitle:逆概率权重法在诊断试验评价证实偏倚中的应用
- Author:
Leni KANG
1
;
Shaokai ZHANG
;
Fanghui ZHAO
;
Youlin QIAO
Author Information
1. 100021,北京协和医学院/中国医学科学院肿瘤医院肿瘤研究所流行病室
- Keywords:
Inverse-probability weighting method;
Verification bias;
Sensitivity;
Specificity;
Maximum likelihood estimation
- From:
Chinese Journal of Epidemiology
2014;35(3):329-332
- CountryChina
- Language:Chinese
-
Abstract:
To evaluate and adjust the verification bias existed in the screening or diagnostic tests.Inverse-probability weighting method was used to adjust the sensitivity and specificity of the diagnostic tests,with an example of cervical cancer screening used to introduce the Compare Tests package in R software which could be implemented.Sensitivity and specificity calculated from the traditional method and maximum likelihood estimation method were compared to the results from Inverse-probability weighting method in the random-sampled example.The true sensitivity and specificity of the HPV self-sampling test were 83.53％ (95％CI:74.23-89.93) and 85.86％ (95％ CI:84.23-87.36).In the analysis of data with randomly missing verification by gold standard,the sensitivity and specificity calculated by traditional method were 90.48％ (95％CI:80.74-95.56) and 71.96％ (95％CI:68.71-75.00),respectively.Thc adjusted sensitivity and specificity under the use of Inverse-probability weighting method were 82.25％ (95％ CI:63.11-92.62) and 85.80％ (95％ CI:85.09-86.47),respectively,whereas they were 80.13 ％ (95％ CI:66.81-93.46) and 85.80％ (95％ CI:84.20-87.41) under the maximum likelihood estimation method.The inverse-probability weighting method could effectively adjust the scnsitivity and specificity of a diagnostic test when verification bias existed,especially when complex sampling appeared.
