HDAT9700 Statistical Modelling II

This repo contains interactive learnr tutorials for the Masters of Science in Health Data Science courses Statistical Modelling II delivered by the Centre for Big Data Resaerch in Health, UNSW Sydney.

Tutorial files

The learnr tutorial files can be found in the subfolder inst/tutorials. Long file names caused errors so the tutorials are organised under shorter pseudonyms, detailed below.

Tutorial	Alias	Author
Research Design and Methods	rdx	Sanja
DAGS	dags	Mark
Propensity Score Matching	psm	Mark
Time Series Analysis	tsa	Andrea
Interrupted Time Series Analysis	its	Andrea
Multilevel Modelling I	mlm1	Mark
Multilevel Modelling II	mlm2	Mark
Multilevel Modelling III	mlm3	Mark
Missing Data and Multiple Imputation	mi	Mark
Presenting and summarising model results	pres	Shawon

Notes on the tutorial folder structure

• Each tutorial has it's own data, images and css subfolders containing any data/images/css code relevant to that tutorial.
• The rsconnect subfolder contains files related to the deployment of tutorials online via shinyapps.io. Generally, we won't have to edit any files in these folders.

Updating tutorials

Below is a general workflow for updating tutorials.

0. If not done already, clone the entire package repo to your local computer.
1. If neccessary, use the Git tab to pull any remote updates to your local computer.
2. Make changes in the tutorial .rmd file.
3. Run the .rmd file to make sure you are happy with your changes, and to update the corresponding .html file.
4. Use Git to add and commit your changes.
5. When you are ready, use Git to push your changes to the remote repo.

Notes on the package

• The package name is hdat9700tutorials
• The functions chapter1(), chapter2() etc launch the learnr tutorials in an interactive session.
• The file R/functions.R contains code to map the learnr tutorials to the correct chapter number function. For example, the first block of code maps the tutorial research-design-and-methods (i.e. "rdx") to the function chapter1(). This makes it simple to re-order the chapters as required.
• The file R/zzz.R contains a list of quotes, one of which is displayed at random on the screen when the package is loaded.

A note on data shipped with the package

• The folder inst/extdata contains a second copy of the data files used across all tutorials. This allows students to access the data within R/RStudio without launching the learnr tutorial (provided they have the package installed).
• For example, the following code could be used within R Studio to read the file yrs2015.csv: data <- read.csv(system.file("extdata", "yrs2015.csv", package="hdat9700tutorials"))