Two-sample rank tests under complex sampling

• 成果类型: Article
• 署名作者: Lumley, Thomas; Scott, Alastair J.
• 署名单位: University of Auckland
• 刊物名称: BIOMETRIKA
• ISSN/ISSBN: 0006-3444
• DOI: 10.1093/biomet/ast027
• 发表日期: 2013
• 页码: 831842
• 关键词: sum test; inference; HEALTH

摘要

Rank tests are widely used for exploratory and formal inference in the health and social sciences. With the widespread use of data from complex survey samples in medical and social research, there is increasing demand for versions of rank tests that account for the sampling design. We propose a general approach to constructing design-based rank tests when comparing groups within a complex sample and when using a national survey as a reference distribution, and illustrate both scenarios with examples. We show that the tests have asymptotically correct levels and that the relative power of different rank tests is not greatly affected by complex sampling.