Regression analysis under incomplete linkage

Authors

Gunky Kim, University of WollongongFollow
Raymond Chambers, University of WollongongFollow

RIS ID

55664

Publication Details

Kim, G. & Chambers, R. (2012). Regression analysis under incomplete linkage. Computational Statistics and Data Analysis, 56 (9), 2756-2770.

Abstract

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. Further, the linkage is often incomplete, in the sense that many records in the two data sets remain unmatched at the completion of the linkage process. This paper introduces methods that correct for the biases due to linkage errors and incomplete linkage when carrying out regression analysis using linked data. In particular, it focuses on the case where one of the linked data sets is a sample from the target population and the other is a register, i.e. it covers the entire target population.

Grant Number

ARC/DP0879520

Additional Grant Number

http://purl.org/au-research/grants/ARC/DP0879520