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Porras, J and English, N (2004). Data-Driven Approaches to Identifying Interviewer Falsification: The Case of Health Surveys. Proceedings of the American Statistical Association, Survey Research Methods Section, pp. 4223-4228.

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Bredl, S, Storfinger, N and Menold, N (2011). A literature review of methods to detect fabricated survey data. Discussion Paper, No. 56, Justus-Liebig- Universität Gießen, Zentrum für Internationale Entwicklungs- und Umweltforschung (ZEU), Giessen. Also appears in: Interviewers’ deviations in surveys. Ed. by N. Menold, P. Winker, and R. Porst. Schriften zur empir. View Complete Reference Online information Works that this work references Works that reference this work
Costa, JI (2012). Desenvolvimento de metodologias contabilométricas aplicadas a auditoria contábil digital: uma proposta de análise da lei de Newcomb-Benford para os Tribunais de Contas. Thesis, Universidade Federal de Pernambuco, Recife, Brasil. POR View Complete Reference Online information Works that this work references Works that reference this work
DeMatteis, JM, Young, LJ, Dahlhamer, J, Langley, RE, Murphy, J, Olson, K and Sharma, S (2020). Falsification in Surveys. Tech Report prepared for AAPOR Council and the Executive Committee of the American Statistical Association by the members of the Task Force on Data Falsification. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Wang, Y and Pedlow, S (2005). Detecting Falsified Cases in SCF 2004 Using Benford’s Law. Proceedings of the American Statistical Association, Survey Research Methods Section, pp. 3562-3657. View Complete Reference Online information Works that this work references Works that reference this work