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Statistical Inference for Probability-Linked Longitudinal Data

Grant


Scheme


  • Discovery Projects

Abstract


  • Linked datasets are critical for scientific research. Recent research on the use of linked data has focused on confidentiality, essentially ignoring linkage errors. These errors arise when distinct population units are linked or when a population unit is not linked. They can lead to incorrect and inefficient inferences if ignored, reducing the power to detect important changes and relationships. This proposal will lead to new and efficient methods for statistical analysis of linked datasets, particularly linked longitudinal datasets. It will develop measures for information loss caused by linkage, allowing assessment of the cost-benefit trade-off in the creation of linked datasets.

Date/time Interval


  • 2008

Sponsor Award Id


  • DP0879520

Local Award Id


  • 9630

Scheme


  • Discovery Projects

Abstract


  • Linked datasets are critical for scientific research. Recent research on the use of linked data has focused on confidentiality, essentially ignoring linkage errors. These errors arise when distinct population units are linked or when a population unit is not linked. They can lead to incorrect and inefficient inferences if ignored, reducing the power to detect important changes and relationships. This proposal will lead to new and efficient methods for statistical analysis of linked datasets, particularly linked longitudinal datasets. It will develop measures for information loss caused by linkage, allowing assessment of the cost-benefit trade-off in the creation of linked datasets.

Date/time Interval


  • 2008

Sponsor Award Id


  • DP0879520

Local Award Id


  • 9630