Regression analysis for longitudinally linked data

Most probability-based methods used to link records from two distinct data sets corresponding to the same target population do not lead to perfect linkage, i.e. there are linkage errors in the merged data. Chambers (2008) describes modifications to standard methods of regression analysis that can be used with such imperfectly linked data. However, these methods assume that the linkage process is complete, i.e. all records on the two data sets are linked. This paper extends theses ideas to accommodate the situation when the number of data sets are more than two.