Median and Quantile Tests under Complex Survey Design using SAS and R

Details

• Alternative Title:
  Comput Methods Programs Biomed
• Personal Author:
  Pan, Yi ; Caudill, Sam ; Li, Ruosha ; Caldwell, Kathy L.
• Description:
  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.
• Subjects:
  Algorithms Article Complex Survey Computer Simulation Data Interpretation, Statistical Female Humans Male Median Models, Statistical Nutrition Surveys Programming Languages Quantile R SAS Software

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• Source:
  Comput Methods Programs Biomed. 117(2):292-297.
• Pubmed ID:
  25123100
• Pubmed Central ID:
  PMC5708173
• Document Type:
  Journal Article
• Funding:
  CC999999/Intramural CDC HHS/United States
• Volume:
  117
• Issue:
  2
• Collection(s):
  CDC Public Access
• Main Document Checksum:
  urn:sha256:5c249b9413a1eba9aa6efa3d17e9f949323516642b0a3e86c3bcd865b0c1bb2c
• Download URL:
  https://stacks.cdc.gov/view/cdc/50415/cdc_50415_DS1.pdf
• File Type:
  [PDF - 381.23 KB ]