Introduction to R for Epidemiology - Session 2

Your support keeps training free for researchers and health workers everywhere, helping them conduct studies even in times of crisis. Please give what you can today to keep this vital learning open to all: https://hub.tghn.org/support-us/donate/ R is an open-source statistical software and is a powerful tool for data analysis. The Global Health Network (TGHN), in collaboration with HDR Global, icddr,b, Fiocruz, and Africa CDC aims to make R training more accessible and tailored to the broader communities of practice in the Global South. The first sessions of the training was delivered to members of The Global Health Network (THGN) Asia and local collaborators. Participants had the opportunity to connect with data experts at icddr,b with specific queries. Data Clinics are held periodically after the Data Club sessions for participants to ask questions related to their own data/analyses. Event date July 18 2023 Trainer Aashna Uppal – PhD Student at The Global Health Network, University of Oxford, United Kingdom Speaker Dr. Aliya Naheed - Scientist, Non-Communicable Disease; Nutrition Research Division, icddr’b; Regional lead, The Global Health Network Asia Agenda 00:00 - Welcome back and Q&A 04:07 - 2.1 Base R vs. tidyverse 07:59 - 2.2 Importing data [Addressed in Session 1] 08:50 - 2.3 Basic data manipulation using the tidyverse 10:58 - 2.4 Data cleaning pipeline 36:41 - 2.5 table & Figures 45:00 - 2.6 RMarkdown 1:00:20 - 2.7 Putting it all together 1:28:35 - Additional resources 1:30:18 - Dr. Aliya Naheed - Closing remarks https://www.icddrb.org/ https://globalhealthdatascience.tghn.... https://asia.tghn.org/ www.theglobalhealthnetwork.org