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R4asme

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

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/learn @andreamazzella/R4asme

README

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.

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GitHub Stars15
CategoryDevelopment
Updated4mo ago
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77/100

Audited on Nov 8, 2025

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