Introduction to the Design and Analysis of Complex Survey Data

• Autores: Chris Skinner, Jon Wakefield
• Localización: Statistical science, ISSN 0883-4237, Vol. 32, Nº. 2, 2017, págs. 165-175
• Idioma: inglés
• DOI: 10.1214/17-sts614
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• Resumen

  • We give a brief overview of common sampling designs used in a survey setting, and introduce the principal inferential paradigms under which data from complex surveys may be analyzed. In particular, we distinguish between design-based, model-based and model-assisted approaches. Simple examples highlight the key differences between the approaches. We discuss the interplay between inferential approaches and targets of inference and the important issue of variance estimation.