Items where Author is "Schnell, R."
Schnell, R. (2017). Randomized Response and Balanced Bloom Filters for Privacy Preserving Record Linkage. Paper presented at the 16th IEEE International Conference on Data Mining Workshop, ICDMW 2016, 12-15 Dec 2016, Barcelona, Spain.
Schnell, R., Noack, M. & Torregoza, S. (2017). Differences in General Health of Internet Users and Non-users and Implications for the Use of Web Surveys. Survey Research Methods, 11(2), pp. 105-123. doi: 10.18148/srm/2017.v11i2.6803
Schnell, R. & Noack, M. (2016). Stichproben, Nonresponse und Gewichtung für Viktimisierungsstudien. In: Guzy, N., Birkel, C. & Mischkowitz, R. (Eds.), Viktimisierungsbefragungen in Deutschland. (pp. 8-75). Germany: Bundeskriminalamt (BKA).
Kroll, M. & Schnell, R. (2016). Anonymisation of geographical distance matrices via Lipschitz embedding. International Journal of Health Geographics, 15(1), article number 1. doi: 10.1186/s12942-015-0031-7
Schnell, R. & Noack, M. (2016). Reliability and Stability of the Standard Fear of Crime Indicator in a National Panel Over 14 Years. Survey Research Methods, 10(3), pp. 253-264. doi: 10.18148/srm/2016.v10i3.6714
Schnell, R. (2015). Privacy-preserving Record Linkage. In: Harron, K., Goldstein, H. & Dibben, C. (Eds.), Methodological Developments in Data Linkage. (pp. 201-225). UK: John Wiley & Sons.
Schnell, R. & Borgs, C. (2015). Building a national perinatal database without the use of unique personal identifiers. Paper presented at the IEEE International Conference on Data Mining, 14-11-2015 - 17-11-2015, Atlantic City, USA.
Niedermeyer, F., Steinmetzer, S., Kroll, M. & Schnell, R. (2014). Cryptanalysis of Basic Bloom Filters Used for Privacy Preserving Record Linkage. Journal of Privacy and Condentiality, 6(2), pp. 59-79.
Schnell, R. (2014). The Accuracy of Pre-Election Polling of German General Elections. MDA - Methods, Data, Analysis, 8(1), pp. 5-24. doi: 10.12758/mda.2014.001
Schnell, R., Trappmann, M. & Gramlich, T. (2014). A Study of Assimilation Bias in Name-Based Sampling of Migrants. Journal of Official Statistics, 30(2), pp. 231-249. doi: 10.2478/jos-2014-0015
Schnell, R. (2014). An efficient Privacy-Preserving Record Linkage Technique for Administrative Data and Censuses. Statistical Journal of the IAOS, 30(3), pp. 263-270. doi: 10.3233/SJI-140833
Schnell, R. (2013). Efficient private record linkage of very large datasets. Paper presented at the 59th World Statistics Congress of the International Statistical Institute, 25-30 Aug 2013, Hong Kong.
Schnell, R., Gramlich, T., Bachteler, T. , Reiher, J., Trappmann, M., Smid, M. & Becher, I. (2013). Ein neues Verfahren für namensbasierte Zufallsstichproben von Migranten. MDA - Methoden, Daten, Analysen, 7(1), pp. 5-33. doi: 10.12758/mda.2013.001
Schnell, R. (2013). Privacy-Preserving Record Linkage and Privacy-Preserving Blocking for Large Files with Cryptographic Keys using Multibit Trees. In: JSM Proceedings, Survey Research Methods Section. Joint Statistical Meeting, 3-8 Aug 2013, Montreal, Canada.