| Literature DB >> 25123100 |
Yi Pan1, Samuel P Caudill2, Ruosha Li3, Kathleen L Caldwell2.
Abstract
Techniques for conducting hypothesis testing on the median and other quantiles of two or more subgroups under complex survey design are limited. In this paper, we introduce programs in both SAS and R to perform such a test. A detailed illustration of the computations, macro variable definitions, input and output for the SAS and R programs are also included in the text. Urinary iodine data from National Health and Nutrition Examination Survey (NHANES) are used as examples for comparing medians between females and males as well as comparing the 75th percentiles among three salt consumption groups. Published by Elsevier Ireland Ltd.Entities:
Keywords: Complex survey; Median; Quantile; R; SAS
Mesh:
Year: 2014 PMID: 25123100 PMCID: PMC5708173 DOI: 10.1016/j.cmpb.2014.07.007
Source DB: PubMed Journal: Comput Methods Programs Biomed ISSN: 0169-2607 Impact factor: 5.428