[1] Bate A, Lindquist M, Edwards IR, Olsson S, Orre R, Lansner A, et al. A Bayesian neural network method for adverse drug reaction signal generation. Eur J Clin Pharmacol 1998;54(4):315 − 21.CrossRef
[2] Van Puijenbroek EP, Diemont WL, Van Grootheest K. Application of quantitative signal detection in the Dutch spontaneous reporting system for adverse drug reactions. Drug Saf 2003;26(5):293 − 301.CrossRef
[3] Van Puijenbroek EP, Bate A, Leufkens HGM, Lindquist M, Orre R, Egberts ACG. A comparison of measures of disproportionality for signal detection in spontaneous reporting systems for adverse drug reactions. Pharmacoepidemiol Drug Saf 2002;11(1):3 − 10.CrossRef
[4] Evans SJW, Waller PC, Davis S. Use of proportional reporting ratios (PRRs) for signal generation from spontaneous adverse drug reaction reports. Pharmacoepidemiol Drug Saf 2001;10(6):483 − 6.CrossRef
[5] Dumouchel W. Bayesian data mining in large frequency tables, with an application to the FDA spontaneous reporting system. Am Stat 1999;53(3):177 − 90.CrossRef
[6] Orre R, Lansner A, Bate A, Lindquist M. Bayesian neural networks with confidence estimations applied to data mining. Comput Stat Data Anal 2000;34(4):473 − 93.CrossRef
[7] Deshpande G, Gogolak V, Smith SW. Data mining in drug safety: review of published threshold criteria for defining signals of disproportionate reporting. Pharm Med 2010;24(1):37 − 43.CrossRef
[8] Cao LS, Yuan P. Thinking of China national immunization program information management system construction. Chin J Vaccines Immun 2010;16(6):553 − 7.CrossRef
[9] Gu CM, Li Y, Wang BH. Real world data and evidence. Scientific and Technical Documentation Press. Beijing, 2022. (In Chinese). 
[10] Li CJ. Researches on theory and application of adverse drug reaction signal detection [dissertation]. 2009. https://kns.cnki.net/kcms2/article/abstract?v=wcPNn8Zia7Ohp-UUl8oj7LKtjFIfAVpXcdzz9hIelBhHz7eLSkqvM37V14qbdr_zZW4zBKjpJLXt9iWOvmJCbSCZ26XThEsYhwGFVpqngeCT4LgnO12Aw8Npt6kIYa3j8RvfewILU8qL3XZB8jKlGQ==&uniplatform=NZKPT&language=CHS. [2023-03-18]. (In Chinese)
[11] Brown EG, Wood L, Wood S. The medical dictionary for regulatory activities (MedDRA). Drug Saf 1999;20(2):109 − 17.CrossRef
[12] Candore G, Juhlin K, Manlik K, Thakrar B, Quarcoo N, Seabroke S, et al. Comparison of statistical signal detection methods within and across spontaneous reporting databases. Drug Saf 2015;38(6):577 − 87.CrossRef
[13] Niu MT, Erwin DE, Braun MM. Data mining in the US Vaccine Adverse Event Reporting System (VAERS): early detection of intussusception and other events after rotavirus vaccination. Vaccine 2001;19(32):4627 − 34.CrossRef
[14] Grunau G, Linn S. Commentary: sensitivity, specificity, and predictive values: foundations, pliabilities, and pitfalls in research and practice. Front Public Health 2018;6:256.CrossRef
[15] WHO. Global manual on surveillance of adverse events following immunization. Geneva: WHO; 2016. https://www.who.int/publications/i/item/9789241507769.
[16] Wu WD, Li KL, Zheng JS, Liu DW, Xu DS, Yang H, et al. Analysis on surveillance data of adverse events following immunization in China, 2011. Chin J Vaccines Immun 2013;19(2):97 − 109.CrossRef
[17] Wu WD, Liu DW, Li KL, Zheng JS, Xu DS, Wang YM, et al. Analysis on surveillance data of adverse events following immunization in China, 2012. Chin J Vaccines Immun 2014;20(1):1 − 12,66.CrossRef
[18] Ye JK, Li KL, Xu DS, Wu WD, Liu DW, Zheng JS, et al. Analysis of surveillance for adverse events following immunization in China, 2014. Chin J Vaccines Immun 2016;22(2):125 − 37.CrossRef
[19] Ye JK, Li KL, Xu DS, Wu WD, Liu DW, Zheng JS, et al. Evaluation of the adverse events following immunization information management system in China, 2013. Chin J Vaccines Immun 2015;21(2):121 − 31,200.CrossRef
[20] Ye JK, Li KL, Xu DS, Wu WD, Zheng JS, Cao L, et al. Surveillance of adverse events following immunization in China, 2015. Chin J Vaccines Immun 2017;23(5):481 − 92,511.CrossRef
[21] Almenoff JS, LaCroix KK, Yuen NA, Fram D, DuMouchel W. Comparative performance of two quantitative safety signalling methods: implications for use in a pharmacovigilance department. Drug Saf 2006;29(10):875 − 87.CrossRef
[22] Kubota K, Koide D, Hirai T. Comparison of data mining methodologies using Japanese spontaneous reports. Pharmacoepidemiol Drug Saf 2004;13(6):387 − 94.CrossRef
[23] Chen RT, Rastogi SC, Mullen JR, Hayes SW, Cochi SL, Donlon JA, et al. The vaccine adverse event reporting system (VAERS). Vaccine 1994;12(6):542 − 50.CrossRef