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Name		Name	Last commit message	Last commit date
README.md		README.md
r4asme01 classical.Rmd		r4asme01 classical.Rmd
r4asme02 logistic.Rmd		r4asme02 logistic.Rmd
r4asme03 matched.Rmd		r4asme03 matched.Rmd
r4asme06 time.Rmd		r4asme06 time.Rmd
r4asme07 poisson.Rmd		r4asme07 poisson.Rmd
r4asme08 cox.Rmd		r4asme08 cox.Rmd
r4asme09 further cox.Rmd		r4asme09 further cox.Rmd
r4asme11 correlated.Rmd		r4asme11 correlated.Rmd
r4asme12 crt.Rmd		r4asme12 crt.Rmd
r4asme14 quantitative.Rmd		r4asme14 quantitative.Rmd
r4asme15 additive.Rmd		r4asme15 additive.Rmd

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

cohort-studies cox-regression epidemiology logistic-regression lshtm poisson-regression r statistical-methods

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