Literature DB >> 25123100

Median and quantile tests under complex survey design using SAS and R.

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


  1 in total

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