Complex Survey Data Analysis with SUDAAN and the SAS Survey Procedures

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Health researchers in academia, all levels of government, and business frequently need to conduct secondary analyses of publically available datasets from U.S. national and state health surveys that use probability sampling. However, training in this statistical specialty is not routinely included in public health degree programs. Health survey data (e.g. NHIS, NHANES, and BRFSS) obtained from probability sampling typically are stratified, clustered and weighted in accordance with the complex sampling plan that was used. Specialized survey software packages that recognize these design features must be used for valid statistical analyses and appropriate statistical inferences. Researchers in disciplines other than health face the same issue with publically released complex survey data available in agriculture, manufacturing, economics, crime, housing, transportation, and education.

Workshop Prerequisites

  • Intermediate or advanced background/experience in both statistical methods and epidemiological methods, including linear and logistic regression.
  • Experience using SAS for data Management and SAS STAT PROCS for statistical analysis of data from simple random samples.
  • Some experience with probability sampling methods.
  • Some experience with linear contrasts and simple linear (matrix) algebra.

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