References
- Belin, T.R. and D.B. Rubin. 1995. “A Method for Calibrating False-Match Rates in Record Linkage.” Journal of the American Statistical Association 90: 694-707. Doi: http://dx.doi.org/10.2307/2291082.10.1080/01621459.1995.10476563
- Chambers, R. 2009. “Regression Analysis of Probability-Linked Data.” Official Statistics Research Series, vol. 4.
- Chipperfield, J.O., G.R. Bishop, and P. Campbell. 2011. “Maximum Likelihood Estimation for Contingency Tables and Logistic Regression with Incorrectly Linked Data.” Survey Methodology 37: 13-24.
- Dempster, A., N. Laird, and D. Rubin. 1977. “Maximum Likelihood from Incomplete Data via the EM Algorithm.” Journal of the Royal Statistical Society Series B 39: 1-38. Available at: http://www.jstor.org/stable/2984875 (accessed November 2017).
- Deville, J.-C. and C.-E. Sa¨rndal. 1992. “Calibration Estimators in Survey Sampling”. Journal of the American Statistical Association 37: 376-382.
- Fellegi, I.P. and A.B. Sunter. 1969. “A Theory of Record Linkage.” Journal of the American Statistical Association 64: 1183-1210.10.1080/01621459.1969.10501049
- Fienberg, S., P. Hersh, A. Rinaldo, and Y. Zhou. 2009. “Maximum Likelihood in Latent Class Models for Contingency Table Data.” In Algebraic and Geometric Methods in Statistics, edited by Paolo Giblisco, Eva Riccomagno, Maria Piera Rogantin, and Henry P. Wynn, 7-62. New York: Cambridge University Press.
- Gill, L. 2001. Methods for Automatic Record Matching and Linkage and their Use in National Statistics. London: Office of National Statistics.
- Guiver, T. 2011. Sampling-Based Clerical Review Methods in Probabilistic Linking. Canberra: Australia Bureau of Statistics.
- Heasman, D. 2014. “Sampling a Matching Project to Establish the Linking Quality.” Survey Methodology Bulletin 72: 1-16.
- Howe, G.R. 1981. “A Generalized Iterative Record Linkage Computer System for Use in Medical Follow-Up Studies.” Computers and Biomedical Research 14: 327-340.10.1016/0010-4809(81)90004-5
- Jaro, M.A. 1989. “Advances in Record Linkage Methodology to Matching the 1985 Census of Tampa, Florida.” Journal of the American Statistical Association 84: 414-420.
- Jiang, J. 2007. Linear and Generalized Linear Mixed Models and Their Applications. New York: Springer.
- Kim, B.S. 1984. Studies of Multinomial Mixture Models. PhD thesis, Chapel Hill: University of North Carolina.
- Lahiri, P. and D. Larsen. 2005. “Regression Analysis with Linked Data.” Journal of the American Statistical Association 100: 222-227. Available at: http://www.jstor.org/stable/27590532 (accessed November 14, 2017).
- Larsen, M. and D. Rubin. 2001. “Iterated Automated Record Linkage Using Mixture Models.” Journal of the American Statistical Association 96: 32-41.10.1198/016214501750332956
- Lavalleé, P. 2002. Le Sondage indirect ou la me´thode du partage des poids. Bruxelles: E ´ ditions de l’Universite´ de Bruxelles.
- Newcombe, H.B., M.E. Smith, and G.R. Howe. 1983. “Reliability of Computerized Versus Manual Death Searches in a Study of the Health of Eldorado Uranium Workers.” Computers in Biology and Medicine 13: 157-169.10.1016/S0010-4825(83)80011-0
- Newcombe, H. 1988. Handbook of Record Linkage. New-York: Oxford Medical Publications.
- Särndal, C.-E., B. Swensson, and J. Wretman. 1992. Model Assisted Survey Sampling. New-York: Springer.
- Schnell, R., T. Bachteler, and J. Reiher. 2009. “Privacy-Preserving Record Linkage using Bloom Filters”. BioMed Central Medical Informatics and Decision Making, 9.
- Winkler, W.E. 1988. “Using the EM Algorithm for Weight Computation in the Fellegi-Sunter Model of Record Linkage”. In Proceedings of the Section on Survey Research Methods: American Statistical Association, August 22-25, 1988, New Orleans, Louisiana. 667-671.