HealthyR Courses: R is for healthcare data analysis Training courses for researchers and healthcare professionals HealthyR courses focus specifically on health-related data analysis and statistics. They are hands-on and computer-based with tutors who will equip you with the most up-to-date R extensions. By the end of our 2.5-day quick-start course you will be able use R for: Publication quality visualisations Effective data summarisation and reshaping Common statistical analysis and interpretation Reproducible research strategies HealthyR: quick-start course (2.5 days) Day 1 (09:00 - 17:00) Your first R plot: Quality plots with just 2 lines of code R basics: Read in, modify, create variables Data wrangling: Efficiently summarise data Different types of plots: Bar, box, scatter, line Day 2 (09:00 - 17:00) Tests for continuous data I: Linear regression Working with categorical data: Factor handling Tests for categorical data: Logistic regression Exporting: Markdown reports, plots, tables Day 3 (09:00 - 13:00) Time-to-Event data: Kaplan-Meier, Cox regression Fine tuning plots: Axis labels, colours, legends Our courses teach the very latest R extensions (packages: ggplot2, dplyr, tidyr, and others) making R more user friendly than ever! HealthyR+: Practical logistic regression (1 day) Session 1 (09:00 - 10:30) Logistic regression basics Introduction Plotting Interpretation Session 2 (11:00 - 12:30) Perform logistic regression models in R Univariate vs multivariate Variable selection Odds vs probability Session 3 (13:30 - 15:00) Further evaluation and interpretation Diagnostics Interactions Forest plots Session 4 (15:30 - 17:00) Independent practical Analyse your own data or our example dataset, format the output and interpret Sessions 2-4 are all hands-on, Session 4 is independent but with tutors for assistance. Fees and registration Fees for the 2.5-day quick-start course are: £225 for students, £325 for University of Edinburgh or NHS staff, £425 for all other professional delegates. Fees for the 1-day HealthyR+: Practical logistic regression course are: £100 for students, £140 for University of Edinburgh or NHS staff, £180 for all other professional delegates. This includes: An excellent tutor-to-participant ratio. Set-up on RStudio Cloud: go home and continue where you left off! Lunch and refreshments at breaks Course materials May 06 2020 09.00 - May 08 2020 17.00 HealthyR Courses: R is for healthcare data analysis Quick-start course and practical logistic regression courses available James Clerk Maxwell Building University of Edinburgh Peter Guthrie Tait Road Edinburgh EH9 3FD Register with HealthyR
HealthyR Courses: R is for healthcare data analysis Training courses for researchers and healthcare professionals HealthyR courses focus specifically on health-related data analysis and statistics. They are hands-on and computer-based with tutors who will equip you with the most up-to-date R extensions. By the end of our 2.5-day quick-start course you will be able use R for: Publication quality visualisations Effective data summarisation and reshaping Common statistical analysis and interpretation Reproducible research strategies HealthyR: quick-start course (2.5 days) Day 1 (09:00 - 17:00) Your first R plot: Quality plots with just 2 lines of code R basics: Read in, modify, create variables Data wrangling: Efficiently summarise data Different types of plots: Bar, box, scatter, line Day 2 (09:00 - 17:00) Tests for continuous data I: Linear regression Working with categorical data: Factor handling Tests for categorical data: Logistic regression Exporting: Markdown reports, plots, tables Day 3 (09:00 - 13:00) Time-to-Event data: Kaplan-Meier, Cox regression Fine tuning plots: Axis labels, colours, legends Our courses teach the very latest R extensions (packages: ggplot2, dplyr, tidyr, and others) making R more user friendly than ever! HealthyR+: Practical logistic regression (1 day) Session 1 (09:00 - 10:30) Logistic regression basics Introduction Plotting Interpretation Session 2 (11:00 - 12:30) Perform logistic regression models in R Univariate vs multivariate Variable selection Odds vs probability Session 3 (13:30 - 15:00) Further evaluation and interpretation Diagnostics Interactions Forest plots Session 4 (15:30 - 17:00) Independent practical Analyse your own data or our example dataset, format the output and interpret Sessions 2-4 are all hands-on, Session 4 is independent but with tutors for assistance. Fees and registration Fees for the 2.5-day quick-start course are: £225 for students, £325 for University of Edinburgh or NHS staff, £425 for all other professional delegates. Fees for the 1-day HealthyR+: Practical logistic regression course are: £100 for students, £140 for University of Edinburgh or NHS staff, £180 for all other professional delegates. This includes: An excellent tutor-to-participant ratio. Set-up on RStudio Cloud: go home and continue where you left off! Lunch and refreshments at breaks Course materials May 06 2020 09.00 - May 08 2020 17.00 HealthyR Courses: R is for healthcare data analysis Quick-start course and practical logistic regression courses available James Clerk Maxwell Building University of Edinburgh Peter Guthrie Tait Road Edinburgh EH9 3FD Register with HealthyR
May 06 2020 09.00 - May 08 2020 17.00 HealthyR Courses: R is for healthcare data analysis Quick-start course and practical logistic regression courses available
