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NHANES Dietary Web Tutorial

Knowledge and Skill Requirements

The tutorial was structured so that you can start anywhere and move around as you wish. However, later modules build on earlier modules and they assume some familiarity with statistics, dietary data and analysis , and nutritional epidemiologic concepts.

 

Modules 1-5

These modules require:

  • basic familiarity with an Internet browser and computer; and

  • no knowledge of statistical software or programming or previous experience with NHANES dietary datasets and files.

Modules 6-11

These modules require:

  • basic knowledge of NHANES dietary datasets and files;

  • basic knowledge and skills in statistical analyses (e.g. ability to run frequently used descriptive and reference statistics, and correctly interpret the results); and

  • basic knowledge and skills in SAS and/or SUDAAN statistical software.

Modules 12-16

These modules require:

  • basic skill in preparing an analytic dataset with NHANES dietary data;

  • basic knowledge of descriptive and inferential statistics, and epidemiologic concepts;

  • basic knowledge and skills in statistical analyses (e.g., ability to run frequently used descriptive and reference statistics, and correctly interpret the results); and

  • basic knowledge and skills in SAS and/or SUDAAN statistical software.

Modules 17-22

These modules require:

  • basic skill in preparing an analytic dataset with NHANES dietary data;

  • proficiency in descriptive and inferential statistics, correlation and regression analyses methods, and epidemiologic concepts;

  • proficiency in descriptive, inferential, correlation, and regression analyses (e.g., ability to run advanced statistical analyses and correctly interpret the results);

  • proficiency regarding statistical considerations of dietary data analyses; and

  • proficiency in SAS and/or SUDAAN statistical software.

Info iconIMPORTANT NOTE

Many of the statistical methods used in this course are advanced, and may require consultation with a statistician. For modules 18-22, it is required that you have the statistical knowledge of mixed effects models, and program knowledge of calling in SAS macros. Since Module 18 provides the background information for Modules 19-22, it is advised that you carefully read Module 18 first before tackling other modules.

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