Abstract:Objecive To introduce the method of using empirical likelihood method to estimate the relevant parameters of accuracy evaluation of diagnostic test without a gold standard under conditional correlation hypothesis. Methods Based on the existing Hui-Walter model, the conditional simplified model is constructed, that is, under the conditional correlation hypothesis, the estimation of the relevant parameters of the diagnostic test evaluation is obtained by constructing the conditional likelihood function. Results By constructing the conditional likelihood function under the conditional correlation hypothesis, the method obtains reliable and robust estimates of related parameters, including the prevalence rate, sensitivity and specificity of the current sample.Conclusion This method simplifies the conditions for the analysis of the diagnostic test without a gold standard, expands the application range of evaluation of diagnostic test without a gold standard, and is a new and effective method to evaluate the accuracy of diagnostic test without a gold standard.
赵芃,吴立晨,闫淼佳,米白冰,陈方尧,颜虹. 条件相关假设下条件似然方法在无“金标准”诊断试验准确性评价中的应用[J]. 中国医院统计, 2021, 28(3): 206-210.
Zhao Peng, Wu Lichen, Yan Miaojia, Mi Baibing, Chen Fangyao, Yan Hong. Application of conditional likelihood method in the evaluating of diagnostic test without a gold standard under conditional correlation assumption. journal1, 2021, 28(3): 206-210.
[1]王肖南,周晓华,刘强,等.无金标准下两种诊断方法准确度的贝叶斯估计[J].中国卫生统计,2019,36(5):653-657.
[2]新型冠状病毒肺炎诊疗方案:试行第8版[J].传染病信息,2020,33(4):289-296.
[3]李雪寒,赵瑾,潘运宝,等.新型冠状病毒特异性抗体检测现状及应用思考[J].中华检验医学杂志,2020,43(7):691-696.
[4]HUI S L,WALTER S D.Estimating the error rates of diagnostic tests[J].Biometrics,1980,36(1):167-171.
[5]杨丽,武海滨,李康.无金标准诊断试验评价的贝叶斯方法及应用[C]//中国卫生信息学会统计理论与方法专业委员会,中华预防医学会卫生统计专业委员会.2011年中国卫生统计学年会论文集,2011:297-306.
[6]DE LA TABLA V O, MASI M, ANTEQUERA P,et al. Comparison of combined nosethroat swabs with nasopharyngeal aspirates for detection of pandemic influenza A/H1N1 2009 virus by realtime reverse transcriptase PCR[J]. J Clin Microbiol,2010,48(10):3492-3495.
[7]VACEK P M. The effect of conditional dependence on the evaluation of diagnostic tests [J]. Biometrics,1985,41(4):959-968.
[8]QU Y, TAN M, KUTNER M H. Random effects models in latent class analysis for evaluating accuracy of diagnostic tests[J]. Biometrics, 1996,52(3):797-810.
[9]COLLINS J, HUYNH M. Estimation of diagnostic test accuracy without full verification: A review of latent class methods[J]. Stat Med,2014,33(24):4141-4169.
[10]LU D, ZHOU C X, TANG L, et al. Evaluating accuracy of diagnostic tests without conditional independence assumption[J]. Stat Med,2018,37(19):2809-2821.
[11]GEORGIADIS M P, JOHNSON W O, GARDNER I A, et al. Correlation-adjusted estimation of sensitivity and specificity of two diagnostic tests[J]. J Royal Stat Soc:Ser C:Appl Stat, 2003,52(1):63-76.
[12]COURCOUL A, MOYEN J L, BRUGRE L, et al. Estimation of sensitivity and specificity of bacteriology, histopathology and PCR for the confirmatory diagnosis of bovine tuberculosis using latent class analysis[J]. PLoS One,2014,9(3):e90334.
[13]BRENNER H. Use and limitations of dual measurements in correcting for nondifferential exposure misclassification[J]. Epidemiology,1992,3(3):216-222.
[14]XIE Y L, CHEN Z, ALBERT P S. A crossed random effects modeling approach for estimating diagnostic accuracy from ordinal ratings without a gold standard[J]. Stat Med,2013,32(20):3472-3485.
[15]刘焱斌,刘涛,崔跃,等.鼻拭子与咽拭子两种取样方法在新型冠状病毒肺炎核酸筛检中的比较研究[J].中国呼吸与危重监护杂志,2020,19(2):141-143.
[16]周兰兰,魏泉德,焦亮,等.咽拭子和鼻拭子标本SARS-CoV-2病毒核酸检测效果分析[J/OL].中华实验和临床病毒学杂志,2020,34:E010-E010[2020-11-12].http://rs.yiigle.com/yufabiao/1190400.htm.
[17]朱一枫,王湘川,王婧芸,等.新型冠状病毒患者口咽拭子与鼻咽拭子病毒核酸检测阳性率比较[J].湖南师范大学学报(医学版),2020,17(5):57-60.
[18]牛卫东,段江洋,蒋诗苑,等.咽拭子、鼻拭子、痰液中SARS-CoV-2核酸检测结果一致性及检出率分析[J].传染病信息,2020,33(4):307-311.
[19]ZOU L R, RUAN F, HUANG M X, et al. SARS-CoV-2 viral load in upper respiratory specimens of infected patients[J]. N Engl J Med,2020,382(12):1177-1179.
[20]SINCLAIR M D, GASTWIRTH J L.On procedures for evaluating the effectiveness of reinterview survey methods: Application to labor force data[J]. J Am Stat Assoc,1996,91(435):961-969.