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Case–control studies with complex sampling
Author(s) -
Scott Alastair,
Wild Chris
Publication year - 2001
Publication title -
journal of the royal statistical society: series c (applied statistics)
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.205
H-Index - 72
eISSN - 1467-9876
pISSN - 0035-9254
DOI - 10.1111/1467-9876.00242
Subject(s) - sampling (signal processing) , sampling design , computer science , sample (material) , control (management) , survey sampling , software , population , artificial intelligence , telecommunications , medicine , chemistry , chromatography , detector , programming language , environmental health
The use of complex sampling designs in population‐based case–control studies is becoming more common, particularly for sampling the control population. This is prompted by all the usual cost and logistical benefits that are conferred by multistage sampling. Complex sampling has often been ignored in analysis but, with the advent of packages like SUDAAN, survey‐weighted analyses that take account of the sample design can be carried out routinely. This paper explores this approach and more efficient alternatives, which can also be implemented by using readily available software.