[Chambers, R. 2009. “Regression Analysis of Probability-Linked Data.” Statisphere Official Statistics Research Series 4. Available at: http://www.statisphere.govt.nz/official-statistics-research/series/vol-4.htm (accessed August, 2013).]Search in Google Scholar
[Chipperfield, J.O., G. Bishop, and P. Campbell. 2011. “Maximum Likelihood Estimation for Contingency Tables and Logistic Regression With Incorrectly Linked Data.” Survey Methodology 37: 13-24.]Search in Google Scholar
[Christen, P. and T. Churches. 2005. Febrl - Freely Extensible Biomedical Record Linkage.Available at: http://cs.anu.edu.au/,Peter.Christen/Febrl/febrl-0.3/febrldoc-0.3/contents.html (accessed April 30, 2010).]Search in Google Scholar
[Fellegi, I.P. and A.B. Sunter. 1969. “A Theory for Record Linkage.” Journal of the American Statistical Association 64: 1183-1210. Doi: http://dx.doi.org/10.1080/01621459.1969.10501049.10.1080/01621459.1969.10501049]Search in Google Scholar
[Goldstein, H., K. Harron, and A Wade. 2012. “The Analysis of Record-Linked Data Using Multiple Imputation With Data Value Priors.” Statistics in Medicine 31: 3481-3493.Doi: http://dx.doi.org/10.1002/sim.5508.10.1002/sim.550822807145]Search in Google Scholar
[Herzog, T.N., F.J. Scheuren, and W.E. Winkler. 2007. Data Quality and Record Linkage Techniques. New York: Springer.]Search in Google Scholar
[Hosmer, D.W. and S. Lemeshow. 2005. Applied Logistic Regression, (Second Edition).New York: John Wiley and Sons.10.1002/0470011815.b2a10030]Search in Google Scholar
[Kim, G. and R. Chambers. 2012a. “Regression Analysis Under Probabilistic Multi- Linkage.” Statistica Neerlandica 66: 64-79. Doi: http://dx.doi.org/10.1111/j.1467-9574.2011.00509.x.10.1111/j.1467-9574.2011.00509.x]Search in Google Scholar
[Kim, G. and R. Chambers. 2012b. “Regression Analysis Under Incomplete Linkage.” Computational Statistics and Data Analysis 56: 2756-2770.10.1016/j.csda.2012.02.026]Search in Google Scholar
[Lahiri, P. 2003. “On the Impact of Bootstrap on Survey Sampling and Small Area Estimation.” Statistical Science 18: 199-210.10.1214/ss/1063994975]Search in Google Scholar
[Lahiri, P. and M.D. Larsen. 2005. “Regression Analysis With Linked Data.” Journal of the American Statistical Association 100: 222-230. Doi: http://dx.doi.org/10.1198/016214504000001277.10.1198/016214504000001277]Search in Google Scholar
[Larsen, M.D. and D.B. Rubin. 2001. “Iterative Automated Record Linkage Using Mixture Models.” Journal of the American Statistical Association 96: 32-41. Doi: http://dx.doi.org/10.1198/016214501750332956.10.1198/016214501750332956]Search in Google Scholar
[Richter, K., G. Saher, and P. Campbell. 2013. Assessing the Quality of Linking Migrant Settlement Records to 2011 Census Data. Methodology Research Papers, cat. no.1351.0.55.043. Canberra: Australian Bureau of Statistics. Available at: http://www.ausstats.abs.gov.au/Ausstats/subscriber.nsf/0/D7A961FD8534DA6FCA257BC900117FBC/$File/1351055043_aug%202013.pdf (accessed December 1, 2013).]Search in Google Scholar
[Scheuren, F. and W.E. Winkler. 1993. “Regression Analysis of Data Files that are Computer Matched.” Survey Methodology 19: 39-58.]Search in Google Scholar
[Winkler, W.E. 2001. Record Linkage Software and Methods for Merging Administrative Lists. Statistical Research Report Series, No. RR2001/03, Bureau of the Census.Available at: https://www.vrdc.cornell.edu/info7470/2007/Readings/rr2001-03.pdf (accessed April 30, 2010).]Search in Google Scholar
[Winkler, W.E. 2005. Approximate String Comparator Search Strategies for Very Large Administrative Lists. Statistical Research Report Series, No. RRS2005/02. Bureau of the Census. Available at: https://www.census.gov/srd/papers/pdf/rrs2005-02.pdf (accessed April 30, 2010).]Search in Google Scholar
[Winglee, M., R. Valliant, and F. Scheuren. 2005. “A Case Study in Record Linkage.” Survey Methodology 31: 3-11.]Search in Google Scholar
[Zhang, G. and P. Campbell. 2012. “Data Survey: Developing the Statistical Longitudinal Census Dataset and Identifying Its Potential Uses.” Australian Economic Review 45: 125-133. Doi: http://dx.doi.org/10.1111/j.1467-8462.2011.00673.x. 10.1111/j.1467-8462.2011.00673.x]Search in Google Scholar