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The comprehensive workshop program is available here for download.

Workshop Program: Day 1

9:00am - 9:30am Welcome & opening ceremony
Speakers, workshop organizers and participants introduction.
9:30am - 5:00pm Introduction to R
Leacky Muchene, Philip Ayeko , Innocent Mboya, Jacqueliene Materu, Jim Todd, Neema Mosha, Sophia Kagoye, Wende Safari
Topics to be covered include: introduction to the R environment, data wrangling, visualization with ggplot and reproducible research using RMarkdown with version control (GIT).

Workshop Program: Day 2

9:00am - 5:00pm Gaussian outcomes (Normal distribution)
Jacqueliene Materu, Leacky Muchene, Neema Mosha, Philip Ayeko, Innocent Mboya, Jim Todd, Sophia Kagoye, Wende Safari
Refresher on linear regression, r functions and loops, introduction to simulations all with adequate time dedicated to a hands-on practical session where participants will work in small groups on a dedicated dataset.

Workshop Program: Day 3

9:00am - 5:00pm Binary outcomes (binomial distribution)
Jacqueliene Materu, Leacky Muchene, Neema Mosha, Sophia Kagoye, Innocent Mboya, Jim Todd, Phillip Ayeko, Wende Safari
Refresher on logistic regression and generalized linear mixed models, an introduction to machine learning (classification, crossvalidation), all with adequate time dedicated to a hands-on practical session where participants will work in small groups on a dedicated dataset.

Workshop Program: Day 4

9:00am - 5:00pm Poisson regression and Survival analysis
Jim Todd, Leacky Muchene, Wende Safari, Innocent Mboya, Jacqueliene Materu, Neema Mosha, Phillip Ayeko, Sophia Kagoye
Refresher on Poisson regression and an introduction to survival analysis. Non-linear model fitting in R with a focus on optimizing user defined objective functions, all interpersed with adequate time for hands-on practical sessions.

Workshop Program: Day 5

9:00am - 5:00pm Recap on learning objectives and introduction to future topics
Leacky Muchene, Innocent Mboya, Jacqueliene Materu, Jim Todd, Neema Mosha, Phillip Ayeko, Sophia Kagoye, Wende Safari
A high-level introduction to developing Shiny applications in R. Subsequently, presenters will make group presentations on the projects worked on during the week followed by a questions and answers session.
Closing ceremony