R4asme
R material for LSHTM's Advanced Statistical Methods in Epidemiology (ASME) practical sessions
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/learn @andreamazzella/R4asmeREADME
r4asme
R notebooks translating the LSHTM's "Advanced Statistical Methods in Epidemiology" module practicals from Stata to R with Markdown and tidyverse.
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- Classical analysis of categorical variables
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- Review of logistic regression
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- Conditional logistic regression
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- Stratifying by time
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- Poisson rgeression in cohort studies
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- Cox regression in cohort studies
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- Further analysis with Cox regression
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- Analysis of correlated data
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- Cluster-randomised trials
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- Analysis of quantitative data
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- Additive and multiplicative models
Dev team: Andrea Mazzella, Lakmal Mudalige, and Julian Matthewman.
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Audited on Nov 8, 2025
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