Introducing the Epidemiologist R Handbook
[https://linkprotect.cudasvc.com/url?a=https%3a%2f%2flh5.googleusercontent.com%2fQZ2_3PPaNgidj-msPsKYrrNvB9RTNF67oJZMJXqbG4ZavmVYxE_0xFJiSGINRTnd3vUj3fEmW3-uaJm4UIBdODTllUMafod6JB7oiRYV6YyW4DEVEk2EPipCwkidLF4eNh3DNBG7&c=E,1,6TchIqZ_fMVo2r6wkC_cYLbd0VU2kOsn]
Dear colleagues and friends,
I am thrilled to introduce The Epidemiologist R Handbook<https://linkprotect.cudasvc.com/url?a=http%3a%2f%2fepirhandbook.com&c=E,1,Eko6Rmwha6IAXRLLKGzJ7CJcL9OA6stgDHchx7Da9jFoHwbH1Mh27c0Mtj8h35Iuu4BQXRIjQs3eB4a88EMrzBk_8krSPV9wJWbtyaThFyA-fpcDzcjcieGoOYA,&typo=1> - a free, open-access R reference manual for applied epidemiology and public health. Written by epidemiologists, for epidemiologists, the handbook includes sample R code and tutorials addressing a wide range of data management and visualization tasks with epidemiological examples. An offline version is available for use in settings with low internet-connectivity.
The Epidemiologist R Handbook was written by applied epidemiologists from around the world leveraging experience in local, national, academic, and emergency settings. The authors are grateful to the dozens of reviewers and supporting organisations including TEPHINET (the global network of Field Epidemiology Training Programs (FETPs)), the EPIET Alumni Network (EAN), and Médecins Sans Frontières (MSF) Operational Centre Amsterdam.
The handbook begins with R fundamentals and proceeds through topics including: data cleaning and management; descriptive and analytical approaches to linelist, survey, survival, contact tracing, time series, and geospatial data; creation of dashboards and automation of reports; how to generate figures such as epidemic curves, transmission chains, demographic pyramids, and phylogenetic trees; and epidemic modeling. It also provides guidance for people looking to transition to R from other software such as SAS, Stata, SPSS, or Excel.
We welcome you to visit the site and appreciate you sharing it widely.
Sincerely,
Neale Batra (Editor-in-chief)
LinkedIn<https://www.linkedin.com/in/neale-batra/> | epiRhandbook@gmail.com<mailto:epirhandbook@gmail.com>
epiRhandbook.com<https://linkprotect.cudasvc.com/url?a=http%3a%2f%2fepiRhandbook.com&c=E,1,dmneHS4rReImPsApfmfoOZtGlJ1UiqzE5OpSxBeNan_bgifbKil3U29wwB5j7_f1nvrBRna_ou2LKKrCgnt0eofrJJRyg97IkdSRLtRajy0,&typo=1> | @epiRhandbook<https://twitter.com/epiRhandbook>
[https://linkprotect.cudasvc.com/url?a=https%3a%2f%2flh3.googleusercontent.com%2f1CNkRHkDMckhCKJe-_J0n2U2G3FBx-MwVvuGKNSuTZUbvUEwAAImiknGcgYFkBTyY0oj5KEZMilTbU6uJ2I5m5GFHHzddfYJadgWRjtr9cDOlNURFY9sZT6Hji-6-7aor2UkT_LI&c=E,1,lQ2kmFFCFE4vfbNlUcHPwtIjSQyk3inG]
Dear colleagues and friends,
I am thrilled to introduce The Epidemiologist R Handbook<https://linkprotect.cudasvc.com/url?a=http%3a%2f%2fepirhandbook.com&c=E,1,Eko6Rmwha6IAXRLLKGzJ7CJcL9OA6stgDHchx7Da9jFoHwbH1Mh27c0Mtj8h35Iuu4BQXRIjQs3eB4a88EMrzBk_8krSPV9wJWbtyaThFyA-fpcDzcjcieGoOYA,&typo=1> - a free, open-access R reference manual for applied epidemiology and public health. Written by epidemiologists, for epidemiologists, the handbook includes sample R code and tutorials addressing a wide range of data management and visualization tasks with epidemiological examples. An offline version is available for use in settings with low internet-connectivity.
The Epidemiologist R Handbook was written by applied epidemiologists from around the world leveraging experience in local, national, academic, and emergency settings. The authors are grateful to the dozens of reviewers and supporting organisations including TEPHINET (the global network of Field Epidemiology Training Programs (FETPs)), the EPIET Alumni Network (EAN), and Médecins Sans Frontières (MSF) Operational Centre Amsterdam.
The handbook begins with R fundamentals and proceeds through topics including: data cleaning and management; descriptive and analytical approaches to linelist, survey, survival, contact tracing, time series, and geospatial data; creation of dashboards and automation of reports; how to generate figures such as epidemic curves, transmission chains, demographic pyramids, and phylogenetic trees; and epidemic modeling. It also provides guidance for people looking to transition to R from other software such as SAS, Stata, SPSS, or Excel.
We welcome you to visit the site and appreciate you sharing it widely.
Sincerely,
Neale Batra (Editor-in-chief)
LinkedIn<https://www.linkedin.com/in/neale-batra/> | epiRhandbook@gmail.com<mailto:epirhandbook@gmail.com>
epiRhandbook.com<https://linkprotect.cudasvc.com/url?a=http%3a%2f%2fepiRhandbook.com&c=E,1,dmneHS4rReImPsApfmfoOZtGlJ1UiqzE5OpSxBeNan_bgifbKil3U29wwB5j7_f1nvrBRna_ou2LKKrCgnt0eofrJJRyg97IkdSRLtRajy0,&typo=1> | @epiRhandbook<https://twitter.com/epiRhandbook>
[https://linkprotect.cudasvc.com/url?a=https%3a%2f%2flh3.googleusercontent.com%2f1CNkRHkDMckhCKJe-_J0n2U2G3FBx-MwVvuGKNSuTZUbvUEwAAImiknGcgYFkBTyY0oj5KEZMilTbU6uJ2I5m5GFHHzddfYJadgWRjtr9cDOlNURFY9sZT6Hji-6-7aor2UkT_LI&c=E,1,lQ2kmFFCFE4vfbNlUcHPwtIjSQyk3inG]
Comments & Events
Kim Gaetz,
Epidemiology Supervisor
Great! thank you!