Abstract
There exist several alternative approaches to inferences on statistical models using complex survey data. This chapter discusses a commonly used approach which combines model-based inferences and design-based estimation under a two-stage joint randomization framework. The formulation of problems starts with a general statistical model but the estimation procedures are mostly design-based. Both the model structure and the survey design features are handled through the use of survey weighted estimating equations.
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Wu, C., Thompson, M.E. (2020). Regression Analysis and Estimating Equations. In: Sampling Theory and Practice. ICSA Book Series in Statistics. Springer, Cham. https://doi.org/10.1007/978-3-030-44246-0_7
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DOI: https://doi.org/10.1007/978-3-030-44246-0_7
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