This overview gives background on a number of statistical methods that have been proven
effective for record linkage. To prepare data for the main computational algorithms, we need …

For the past 80 years, social scientists have been linking historical censuses across time to
study economic and geographic mobility. In recent decades, the quantity of historical census …

Linkage of population-based administrative data is a valuable tool for combining detailed
individual-level information from different sources for research. While not a substitute for …

Multiple Imputation and its Application The most up-to-date edition of a bestselling guide to
analyzing partially observed data In this comprehensively revised Second Edition of Multiple …

Missing data affect nearly every discipline by complicating the statistical analysis of collected
data. But since the 1990s, there have been important developments in the statistical …

Studies involving the use of probabilistic record linkage are becoming increasingly common.
However, the methods underpinning probabilistic record linkage are not widely taught or …

Sensitive personal data are created in many application domains, and there is now an
increasing demand to share, integrate, and link such data within and across organisations in …

Administrative data are becoming increasingly important. They are typically the side effect of
some operational exercise and are often seen as having significant advantages over …

Linked datasets are an important resource for epidemiological and clinical studies, but
linkage error can lead to biased results. For data security reasons, linkage of personal …

Collecting data using probability samples can be expensive, and response rates for many
household surveys are decreasing. The increasing availability of large data sources opens …