Combining and Analyzing Complex Data
About this course
In this course you will learn how to use survey weights to estimate descriptive statistics, like means and totals, and more complicated quantities like model parameters for linear and logistic regressions. Software capabilities will be covered with R® receiving particular emphasis. The course will also cover the basics of record linkage and statistical matching—both of which are becoming more important as ways of combining data from different sources. Combining of datasets raises ethical issues which the course reviews. Informed consent may have to be obtained from persons to allow their data to be linked. You will learn about differences in the legal requirements in different countries.
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What you'll learn
- Estimate descriptive statistics using survey weights
- Apply model parameters for linear and logistic regressions
- Conduct record linkage and statistical matching
- Understand ethical issues in data combination
- Explore legal requirements related to data linkage
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