A survey could include categorical and/or numerical data collected from a questionnaire or from measurements. Survey data analysis is the process of turning the raw information of your survey into insights. This course will provide you with an overview for data collection, questionnaire design, and common sampling methods. Then we will discuss you will learn descriptive statistics, linear regression, logistic regression, and dealing with missing values for survey data. The course will also include a hands-on component using R statistical language to perform survey data analysis with National Health and Nutrition Examination Survey (NHANES) data.
- Data collection and questionnaire design
- Statistical Inference
- Sampling
- Graphics
- Ratios and Linear Regression
- Categorical Data Regression
- Test of Association
- Missing Data
- Presenter: Claire Wang (qinlu.wang@nih.gov)
- bioinformatics @NIAID - BCBB website with training materials, apps, and the services we provide.
- Email bioinformatics@niaid.nih.gov or me if you any questions about your particular data or project