Skip to content
This repository has been archived by the owner on Sep 15, 2022. It is now read-only.
/ r4asme Public archive

R material for LSHTM's Advanced Statistical Methods in Epidemiology (ASME) practical sessions

Notifications You must be signed in to change notification settings

andreamazzella/r4asme

Repository files navigation

r4asme

R notebooks translating the LSHTM's "Advanced Statistical Methods in Epidemiology" module practicals from Stata to R with Markdown and tidyverse.

    1. Classical analysis of categorical variables
    1. Review of logistic regression
    1. Conditional logistic regression
    1. Stratifying by time
    1. Poisson rgeression in cohort studies
    1. Cox regression in cohort studies
    1. Further analysis with Cox regression
    1. Analysis of correlated data
    1. Cluster-randomised trials
    1. Analysis of quantitative data
    1. Additive and multiplicative models

Dev team: Andrea Mazzella, Lakmal Mudalige, and Julian Matthewman.

About

R material for LSHTM's Advanced Statistical Methods in Epidemiology (ASME) practical sessions

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published