https://github.com/imperialcollegelondon/rcds-regression-modelling
RCDS regression modelling course for the Imperial College London Graduate School.
https://github.com/imperialcollegelondon/rcds-regression-modelling
Science Score: 26.0%
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Low similarity (12.7%) to scientific vocabulary
Repository
RCDS regression modelling course for the Imperial College London Graduate School.
Basic Info
- Host: GitHub
- Owner: ImperialCollegeLondon
- Language: HTML
- Default Branch: main
- Size: 14.9 MB
Statistics
- Stars: 3
- Watchers: 1
- Forks: 4
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
Hi! Welcome to the Regression Modelling in R course! :grinning: :chartwithupwards_trend:
My name is Fernando, and I'm a final year PhD student at the Imperial School of Public Health :hospital:. I hope you're looking forward to this interactive, standalone, and roughly 3-hour course for the Graduate School in-person in the Central Library :books:. I highly recommend that you bring your own laptop :computer: to class and follow the pre-course setup below before coming to the workshop!
1. Pre-course setup :computer:
Hit the :green_square: <> Code button above and select "Download ZIP" to get all of the contents of this repository (Powerpoint slides, R code, HTML document, and other fluff). Unzip the folder and pull the unzipped folder out of your "Downloads" folder (e.g. onto your "Desktop").
Next, we will be working with the open-source (a.k.a. free :partying_face:) programming language "R" and the integrated development environment RStudio. Please download and install these in advance of the session to save yourself the hassle during the course:
➡️ R (download the version that matches your operating system): https://cran.ma.imperial.ac.uk/
➡️ RStudio Desktop (the free version): https://posit.co/downloads/
Once downloaded, please copy and paste the following code into your "Console" in RStudio and run it by hitting "Enter" to install the required packages for the session: ```r list.of.packages <- c("faraway") new.packages <- list.of.packages[!(list.of.packages %in% installed.packages()[,"Package"])] if(length(new.packages)) install.packages(new.packages)
library(faraway)
```
Alternatively, you can run the R coding exercises online using Binder (although we do not recommend doing this using the classroom computers as they're very slow): 
2. Literature workshop :pagefacingup:
For the workshop, we will be interpreting the results from this paper by Sin et al. titled "Mental health and caregiving experiences of family carers supporting people with psychosis". We will give you enough time to read through the abstract and interpret the results tables during the session, but you may get a headstart by doing this in advance.
3. Learning outcomes :bulb:
By the end of this course, we hope that you will be able to: 1. Define and explain fundamental concepts of regression modelling. 2. Formulate, apply, and compare regression models based on a research question. 3. Estimate regression coefficients using R and interpret them in the context of the question. 4. Interpret regression model results from scientific papers.
4. Acknowledgment
Sonja Tang for her contribution in the materials and delivery of the course in 2022-2024.
Owner
- Name: Imperial College London
- Login: ImperialCollegeLondon
- Kind: organization
- Email: icgithub-support@imperial.ac.uk
- Location: Imperial College London
- Repositories: 311
- Profile: https://github.com/ImperialCollegeLondon
Imperial College main code repository
GitHub Events
Total
- Push event: 3
- Fork event: 1
Last Year
- Push event: 3
- Fork event: 1
Committers
Last synced: about 2 years ago
Top Committers
| Name | Commits | |
|---|---|---|
| Sonja N. Tang | s****t | 25 |
| fguntoro | 4****o | 13 |
| sonjant | s****g@g****m | 7 |
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Last synced: about 1 year ago
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Past Year
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