Welcome to R for LSHTM, 2022 edition.
This repository collates all of the practical sessions from the statistical course sequence at LSHTM: STEPH, SME, and ASME. Datasets are presently not confirmed to be publicly available, but are available on Moodle for LSHTM staff and students - I am working on clarifying dataset availability or replacing with a simulated dataset for those based outside of LSHTM.
This material is constantly being updated and should be complete by the end of the 2021-2022 academic year. If you are working with these files and notice any changes that need to be made, or if you wish to add R files for any other courses at LSHTM, please do make a pull request.
Big shoutout to Andrea Mazzella & the MSc Epi 2018/19 cohort for making this possible!
The mapping of sessions is as follows:
| Course | Filename | Session Number 2022 | Session Title 2022 |
|---|---|---|---|
| STEPH | prac01_means | Session 6/7 | Comparing two means in Stata / Non-parametric methods |
| prac02_categorical | Session 9 | Categorical variables | |
| prac03_strat2x2 | Session 10 | Stratified analysis of 2x2 tables | |
| prac04_linreg | Session 12 | Simple regression | |
| prac05_extlinreg | Session 13 | Multivariable regression | |
| tbd | Session 14 | Estimation in sample surveys | |
| tbd | Session 15 | Power & sample size | |
| -------- | ---------- | ----------- | ------- |
| SME | prac01_survival | ||
| prac02_case-control | |||
| prac03_logistic | |||
| prac04_logistic-covariates | |||
| -------- | ---------- | ----------- | ------- |
| Social Epi | prac01_medconf | Session 15 | Mediation & Confounding |
| prac02_pca | Session 20 | Principal component analysis | |
| -------- | ---------- | ----------- | ------- |
| ASME | prac01_classical | Session 1 | Self-directed exercises |
| prac02_logistic | Session 2 | Review of logistic regression | |
| prac03_matched | Session 3 | Matched case-control studies | |
| prac04_time | Session 5 | Stratifying on time? | |
| prac05_poisson | Session 6 | Poisson regression | |
| prac06_cox. | Session 7 | Cox regression |
The datasets required to work through these are presently available on the SME & ASME course pages:
- bab9.dta
- diabraz17.dta
- diabraz217.dta
- mortality17.dta
- mwanza17.dta
- trinmlsh.dta
- whitehall17.dta
- pbc1bas.dta