Check out our new exciting list of events for 2020: https://bemcolloquium.com/meetings-calendar/
If you want to get more updates, get on our mailing list, send an Email to: bemcolloquium(at)charite.de
Check out our new exciting list of events for 2020: https://bemcolloquium.com/meetings-calendar/
If you want to get more updates, get on our mailing list, send an Email to: bemcolloquium(at)charite.de
Dear Berlin-area Epidemiological Methods Enthusiasts,
You are invited to our next BEMC Talk on Wednesday, December 4th.
BEMC Talk: Wednesday, December 4th, 2019 @ 4pm
“Causal Decision Analysis of Benefits, Harms and Cost-effectiveness – Estimands, Outcomes, Models and More” – Uwe Siebert, Hall in Tirol, Austria
Upcoming Berlin Epi Events:
Interested in other related events? Visit the Institute of Public Health calendar to check out upcoming events & short courses!
Follow BEMC on Twitter and leave questions for our speakers: @BEMColloquium
Dear Berlin-area Epidemiological Methods Enthusiasts,
You are invited to our next BEMC Talk on Wednesday, November 6th.
BEMC Talk: Wednesday, November 6th, 2019 @ 4pm
“The causes of the causes in context: confronting the burden of proof in lifecourse and social epidemiology” – Michelle Kelly-Irving, Inserm-Toulouse, Equity research team, LEASP, Faculté de Medecine, Toulouse, France
Upcoming Berlin Epi Events:
Interested in other Institute of Public Health events? Visit our calendar to check out upcoming conferences & short courses!
Follow BEMC on Twitter and leave questions for our speakers: @BEMColloquium
There is no BEMC talk in the month of October, but there is still a lot going on in the epi community!
JClub on Oct 16th: Please click on this link to see the chosen journal article. Note: for the first time ever, we will be reading a pre-print and submitting feedback as a group to the authors! Should be a cool experience to influence ongoing research, so don’t miss out!
IPH lecture on Oct 23rd: Professor John Gill is going to give a talk on “Understanding and communicating risk of rare but serious health complications – an example from living kidney donation” – click on this link to find out more and register for the event.
Our next regularly scheduled BEMC talk will be in November.
See you soon!
“An introduction to precisely and ggdag: Tools for modern methods in R” – a summary by Ana Sofia Oliveira Gonçalves
On the 4th September 2019, Malcolm Barrett held a lecture on the topic of “An introduction to precisely and ggdag: Tools for modern methods in R”. Malcolm Barrett is a PhD student in Epidemiology at the University of Southern California. He has experience in epidemiology and has worked with R studio.
During his lecture, he introduced two R packages that he has developed: “precisely” and “ggdag”. He then wrapped up his talk by sharing best practices in creating software for epidemiology analysis.
Malcolm first introduced the package “precisely”. Precisely is an R package which calculates sample size based on precision rather than power. It allows researchers to calculate sample sizes for common epidemiology measures, like risk differences, risk ratios and odds ratios. It can be used with R or just as a calculator on the web. It goes hand-in-hand with the recent discussion regarding statistical significance. During the discussion, he commented that the move away from p-values will still take some time. The motivation behind developing this package came from reading an article from Rothman and Greenland on planning study size based on precision. In this package, researchers need to set a desired precision, proportions of exposed to unexposed, group ratio and coverage. It also allows the calculation of precision given the sample size. The package shiny helps to run webapps, thus, people who do not work with R can still use precisely. He highlighted the common wrong interpretations of confidence intervals.
Malcolm proceeded to introduce his package “ggdag”. Ggdag is a package used to create causal diagrams in R. Dagitty does not always create beautiful plots and ggplot2 is the best data visualization tool at the moment. Hence, ggdag aims to integrate dagitty and ggplot2 (and ggraph which is actually part of ggplot2). Dagitty has powerful, robust algorithms and ggplot2 has unlimited flexibility. Ggdag also provides information (graphically) regarding the variables that need to be adjusted/controlled for.
Later on, he gave some insights on designing software for epidemiology. He mentioned that the developed software should be 1) very flexible, in order to automate tedious parts of analysis and be very loud about the difficult part, 2) expressive (modular code is better than monolithic functions), 3) able to fit into the ecosystem. He finished his lecture describing the package he is currently creating, which will be a tool to help clone datasets.
Dear Berlin-area Epidemiological Methods Enthusiasts,
You are invited to our next BEMC Talk on Wednesday, September 4th. Please note the location — CVK, Forum 3, Hörsaal 3, 13353 – Campus Virchow Clinic.
BEMC Talk: Wednesday, September 4th, 2019 @ 4pm
“An introduction to precisely and ggdag: Tools for modern methods in R” – Malcolm Barrett, California
Upcoming Berlin Epi Events:
Interested in other Institute of Public Health events? Visit our calendar to check out upcoming conferences & short courses!
Follow BEMC on Twitter and leave questions for our speakers: @BEMColloquium
Dear Berlin-area Epidemiological Methods Enthusiasts,
We hope you had a great summer break!
We look forward to seeing you again at our September BEMC Talk in a few short weeks…
BEMC Talk: Wednesday, Sept. 4th, 2019 @ 4pm ·
“An introduction to precisely and ggdag: Tools for modern methods in R” -Malcolm Barrett (US)
**IMPORTANT: Location change: Forum 3, Hörsaal 3, Campus Virchow Klinikum (CVK) in Berlin-Wedding, 13353** ·
Please register here
Description: “Modern epidemiology gives us insight into study planning and causal inference, but the success of these approaches require friendly and accessible software. Malcolm will discuss two R packages he has developed as tools for implementing modern methods in study design and causal inference: precisely and ggdag. precisely is a study planning tool to calculate sample size based on precision rather than power. Calculating sample size based on precision focuses on the width of the confidence interval instead of statistical significance. precisely is a fast and flexible R implementation of the work by Rothman and Greenland on this subject, including a Shiny web app for calculating sample size. ggdag is a toolkit for working with causal directed acyclic graphs (DAGs), a central tool in causal inference. DAGs help identify many types of bias, like confounding, selection bias, and measurement error, as well as tell us how to correct for it. ggdag makes it easy to create, analyze, and plot DAGs in ggplot2.”
Other upcoming Berlin-area epi-related events:
Sept. 18th BEMC JClub article posted here ·
Early Oct no BEMC Talk!
Join us for the IPH lecture on Oct. 23rd · “Understanding and communicating risk of rare but serious health complications – an example from living kidney donation” – John Gill (Vancouver) ·
Oct. 16th, BEMC JClub article posted here ·
February 20-22nd, 2020: REWARD/EQUATOR Conference in Berlin (co-hosted by BIH-QUEST). Details & abstract submission here: https://www.reward-equator-conference-2020.com/
“Thick” and “Thin” Branches in Epidemiology – a Student Summary from Ana Sofia Oliveira Goncalves
On the 3rd of July 2019, Suzanne Cannegieter held a lecture on ““Epidemiology as a Toolbox to Benefit the Patient”. She graduated as a MD, did a PhD focused on anticoagulant therapy in patients with artificial heart valves, and then completed a Masters in Epidemiology. Throughout her career, she has done numerous studies focused on venous thrombosis. During her lecture, she used venous thrombosis examples to clarify her toolbox, this toolbox can be applied on other diseases as well. She started by highlighting the difference between “thick” and “thin” branch research using a tree as a metaphor. In thick branch research, discoveries are scientific relevant but with little clinical effect. Many other discoveries can come from thick branch research as it leads to further unanswered questions. On the other hand, thin branch research is clinically relevant but holds little scientific influence. Compared to thick branch research, thin branch research is more relevant for patients. She used venous thrombosis as an example for the main study design types: case-control studies, matched case-control studies, self-controlled case series and RCTs. She pointed out that for “thicker” studies, case-controls are the most appropriate study designs, while for “thinner” studies, RCTs are the best option. During the discussion, participants questioned Suzanne whether research can both be “thick” and “thin”, to which her answer was positive. She thinks that it is ideal to be a specialist in a specific disease and a generalist in terms of methods. She also mentioned that scientific research follows trends and some study designs are used less often compared to others.
No more BEMC events until September! Have a relaxing summer break.
Best wishes,
Team BEMC
Dear Berlin-area Epidemiological Methods Enthusiasts,
You are invited to our next BEMC Talk on Wednesday, July 3rd.
BEMC Talk: Wednesday, July 3rd, 2019 @ 4pm
Title: “Epidemiology as a toolbox to benefit the patient” – Suzanne Cannegieter, Leiden, Netherlands
Upcoming Berlin Epi Events:
Interested in other Institute of Public Health events? Visit our calendar to check out upcoming conferences & short courses!
Follow BEMC on Twitter and leave questions for our speakers: @BEMColloquium