Median and quantile tests under complex survey design using SAS and R.
Computer methods and programs in biomedicine, 117 (2):
292-7 (November 2014)Mesures de contrast; Proves no paramètriques; SAS; R; Software estadístic.DOI: 10.1016/j.cmpb.2014.07.007
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.
