This repository hosts some content of the School of Human Nutrition Coding Club. While some theoretical aspects about statistics and analyses are covered, the focus is on the actual coding. The primary languages used for demonstration are R and SAS.
The data used for this workshop is a sample of 1’000 respondents aged 19-70 y from the Canadian Community Health Survey (CCHS) 2015 - Nutrition.
Please note that example analyses are not survey analysis per se, i.e., they would not be appropriate for analysis of the CCHS 2015 - Nutrition. Regression analyses for complex sampling survey analyses require consideration of the survey design. However, for demonstration purpose, it is assumed that the sample data is a random sample of the population of Canadian adults.
- Introduction. (very) brief refresher on regression
analysis
- The R code (Quarto) file used to produce the document is 1.0-Regression_intro.qmd
- Interactive codebook for demonstration data
- Part 1. Marginal effects: getting insights from a
model
- The R code (Quarto) file used to produce slides is 1.1-Marginal_effects.qmd
- The SAS code to reproduce the demonstration is 1.9-Supplemental_SAS_code.sas
- Part 2. Multiple imputation to deal with missingness: slides | code