Introduction to the design and analysis of complex survey data

Skinner, Chris J. and Wakefield, Jon (2017) Introduction to the design and analysis of complex survey data. Statistical Science, 32 (2). pp. 165-175. ISSN 0883-4237

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Abstract

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.

Item Type:	Article
Official URL:	http://www.imstat.org/sts/
Additional Information:	© 2017 Institute of Mathematical Statistics
Divisions:	Statistics
Subjects:	H Social Sciences > HA Statistics
Date Deposited:	15 May 2017 11:20
Last Modified:	14 Nov 2024 06:54
Projects:	R01CA095994
Funders:	National Institute of Health
URI:	http://eprints.lse.ac.uk/id/eprint/76991

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