Data Protection (Datenschutzerklärung)

As the Berlin Epidemiological Methods in Colloquium is based in Germany, we follow the German data protection rules and data policies.

Diese Datenschutzerklärung informiert Sie über die Verarbeitung personenbezogener Daten bei der Nutzung unserer Website.

Verantwortlicher
Verantwortlich für die Datenverarbeitung ist:

Charité – Universitätsmedizin Berlin
Charitéplatz 1
10117 Berlin
Deutschland

t: +49 30 450 50
Website: www.charite.de

Ansprechpartner für Datenschutz

Bei Fragen zur Verarbeitung Ihrer personenbezogenen Daten, sowie zu Ihren Rechten rund um den Datenschutz, wenden Sie sich bitte an:

Datenschutz der Charité – Universitätsmedizin Berlin
Charitéplatz 1
10117 Berlin

t: +49 30 450 580 016
E-Mail: datenschutz(at)charite.de

Personenbezogene Daten

Personenbezogene Daten sind Informationen, welche sich auf eine identifizierte oder identifizierbare natürliche Person (im Folgenden “betroffene Person”) beziehen.

Daten beim Websiteaufruf

Falls Sie sich auf dieser Website nur informieren wollen und keine Daten eingeben, dann verarbeiten wir nur jene Daten, die zur Anzeige der Website auf dem von Ihnen verwendeten mit dem Inernet verbundenen Gerät erforderlich sind. Dazu gehören insbesondere:

  • IP-Adresse
  • Datum und Uhrzeit der Anfrage
  • jeweils übertragene Datenmenge
  • die Website, von der die Anforderung kommt
  • Browsertyp und Browserversion
  • Betriebssystem

Rechtsgrundlage für die Verarbeitung dieser Daten sind berechtigte Interessen gemäß Art. 6 Abs. 1 UAbs. 1 Buchstabe f) DSGVO, um die Darstellung der Website grundsätzlich zu ermöglichen.

Darüber hinaus können Sie verschiedene Verfahre und Angebote auf der Website nutzen, für die weitere personenbezogene und nicht personenbezogene Daten verarbeitet werden.

Daten für die Anmeldung zu unseren Veranstaltungen

Daten, die Sie uns auf eigenen Wunsch übermitteln, z.B. durch Ausfüllen von Webformularen bei der Anmeldung zu Veranstaltungen — wie Name, Email-Adresse und Institutionen — werden von uns ausschließlich zu dem angegebenen Zweck verwendet und datenschutzkonform gespeichert. Nach der zweckgemäßen Verwendung werden diese Daten innerhalb der erforderlichen Frist gelöscht. Die Daten werden nicht an Dritte weitergegeben. Sie können der Nutzung Ihrer Daten zu jedem Zeitpunkt widersprechen, so dass sie vor Ablauf der Frist gelöscht werden.

Ihre Rechte

Als betroffene Person haben Sie:

  • ein Auskunftsrecht zu den Sie betreffenden personenbezogenen Daten, die der Verantwortliche verarbeitet (Art. 15 DSGVO),
  • das Recht auf Berichtigung unrichtiger oder unvollständiger, Sie betreffenden Daten (Art. 16 DSGVO),
  • das Recht auf Löschung der Sie betreffenden Daten (Art. 17 DSGVO),
  • das Recht, die Einschränkung der Datenverarbeitung Ihrer personenbezogenen Daten zu verlangen (Art. 18 DSGVO),
  • das Recht auf Datenübertragbarkeit (Art. 20 DSGVO),
  • ein Widerspruchsrecht gegen die Verarbeitung personenbezogener Daten, die Sie betreffen (Art. 21 DSGVO),
  • das Recht, sich nicht einer ausschließlich auf einer automatisierten Verarbeitung beruhenden Entscheidung zu unterwerfen, die Sie rechtlich bindet oder auf erhebliche Weise beeinträchtigt (Art. 22 DSGVO),
  • das Recht, sich bei begründetem Anlass bei der zuständigen Aufsichtsbehörde zu beschweren (Art. 77 DSGVO).

Einsatz von Cookies 

Beim Besuch der Website können kleine Textdateien, sog. Cookies, auf Ihrem Gerät gespeichert werden. Diese Textdateien werden vom Browser gespeichert und können bestimmte Informationen enthalten.

Durch die Browsereinstellungen lässt sich das Setzen von Cookies einschränken oder verhindern. So kann z. B. nur die Annahme von Cookies von Drittanbietern, oder aber auch alle Cookies, blockiert werden.

Datenschutzerklärung für Google-Produkte

Diese Website verwendet Google Docs und Google Analytics, beides Dienste der Google Inc., 1600 Amphitheatre Parkway, Mountain View, CA 94043, USA. Zu diesem Zweck setzt Google Cookies auf dem Gerät. Die dabei erfassten Informationen werden in der Regel an einen Server von Google in den USA übermittelt und dort erfasst – darunter auch die IP-Adresse. Google kürzt vor der Speicherung die innerhalb von Mitgliedstaaten der Europäischen Union oder in anderen Vertragsstaaten des Abkommens über den Europäischen Wirtschaftsraum erfassten IP-Adressen und speichert Daten nur anonymisiert. 

Die Verarbeitung der Daten erfolgt auf Grundlage von Art. 6 Abs. 1 UAbs. 1 Buchstabe f) DSGVO im Sinne der Verbesserung dieses Websiteangebots.

Das Setzen des Analytics-Cookies kann verhindert werden, indem der Browser alle Cookies ablehnt. Diese Einstellung, die vorgenommen werden kann, beeinträchtigt jedoch unter Umständen die Nutzungsmöglichkeiten dieser Website. Sie können durch folgenden Link die Erfassung von Daten durch Google Analytics für diese Website deaktivieren.

Datenschutzerklärung für Twitter

Diese Website verwendet eingebettete Inhalte und Funktionen von Twitter, Inc., 1355 Market St, Suite 900, San Francisco, CA 94103, USA für die Verarbeitung der Daten auf der Basis von Art. 6 Abs. 1 UAbs. 1 Buchstabe f) DSGVO mit dem berechtigten Interesse an der Optimierung des Websiteangebots. Bei Aufruf der Seiten mit Twitter-Inhalten wird grundsätzlich eine Verbindung mit den Servern von Twitter aufgebaut. Besitzen Sie einen Twitter-Account, können dabei diese Daten mit Ihren dort gespeicherten Daten verknüpft werden. Wenn Sie dies nicht wünschen, loggen Sie sich daher bitte vor dem Besuch der Seite bei Twitter aus und löschen Sie die gespeicherten Cookies. Twitter unterliegt dem Datenschutzabkommen „Privacy Shield“ zwischen der USA und der EU unterworfen.

Important: All BEMC Talks and Jclub are canceled until further notice

Dear Berlin-area Epidemiological Methods Enthusiasts,

We regret to inform you that in light of the current situation with SARS-CoV-2 / COVID-19, ALL BEMC Talks and JClub events must be cancelled until further notice.

As epidemiologists, we feel this is the right move. It is also in line with declaration of measures for scientific activities released by the Berlin Senate. For more information, see: https://www.berlin.de/sen/wissenschaft/aktuelles/pressemitteilungen/2020/pressemitteilung.905804.php

In the meantime, if you are missing the BEMC, you can subscribe to our new BEMC YouTube channel and catch up on our past 2 BEMC Talks: https://www.youtube.com/channel/UCJP9KScMBRC0reDr1tTXrpg/featured

We are currently working on bringing you more talks electronically even if we cannot meet in person. Stay tuned!

Regards,

Your BEMC Team

Beaming the BEMC Beyond Berlin: first attempt

Over the years, we have received several requests to start filming our talks, and we were always a little bit hesitant.  It is labor intensive, potentially distracting and not attractive to some speakers. Although we hope to reach those outside of Berlin with this effort, maybe our local attendance will drop. In spite of these initial fears and challenges, after testing some options, we have decided that we will give it a (provisional) go with an improvised, rather rudimentary setup. 

Where to start? We have asked previous presenters if they would prefer live streaming or video recording, and streaming came out just on top, however, most were also ok with recording. We then asked our target audience, who strongly preferred recorded video. The BEMC Talk videos will be available for everybody wherever, whenever, potentially multiplying the number of people who benefit from the extra effort. So, video it is. 

Of course, we understand that not all presenters will feel comfortable with recording. Sometimes it is because of the work that they are presenting; sometimes it is because the thought of being online until the end of time is a bit daunting. We will respect their wishes if they want the talk to stay completely offline.  However, we will try to work with speakers in such cases to record parts of their talks, when possible, and ask them for a green light after we have shown them the edited video. With this approach we think that a good chunk of the BEMC talks will end up on the internet. Even though the video and sound quality will not be top notch without professional equipment, we hope this first step will still be well received.  

We hope that a lot of people will benefit from our videos. Of course, we will keep an eye on the view counts and watch for useful feedback in the comments section on our Youtube page, but please feel free to get in touch directly via Twitter or using our “Contact us” page to let us know what you think. 

All the best and thanks for your continued support, 

The BEMC team

February Talk: A Student Summary

The talk’s title is “A New Approach to the Generalizability of Randomized Trials” presented by Dr. Anders Huitfeldt.

To extrapolate causal effects from one setting (the study population of a RCT) to another setting (a clinically relevant target population) we need to justify some parameters. For example, we have to see if the conditional effect parameter in the target population is equal to the corresponding parameter in the study population. Known as the “effect homogeneity”. The effect homogeneity parameter occurs not only between the study population and the target population but also between two groups in the RCT’s population. The principle of extrapolating causal effects is that, because we have a randomized trial in the study population, we know what happens in this population if everyone takes the drug and what if they don’t take the drug. In addition, because the drug is not available in the target population we know what happens if they don’t take the drug. Then, we target to use the above information in combination with homogeneity assumption to predict what happens if someone in the target population don’t take the drug. However, the different definition of “effect homogeneity” leads to a different empirical prediction. Traditional approaches for it are: Effect Measure Modification, Forest plots, Cochran’s Q, I2. These approaches contain some shortcomings which can be reduced (eg. No biological interpretation). That is why a method which can be used to determine choice between effect measures is necessary. The COST parameter would be a new class of causal models for the purpose. The COST parameter has many advantages as effect quality measuring because of (1) a clear biological interpretation, (2) the effect of a drug is determined by gene, (3) Baseline risk independence. Finally, there is still controversial among methodologists about using COST parameter as an approach to determining the appropriate choice of scale if effect homogeneity is considered in terms of measures of effect.

January Talk: A Student Summary

The title of the talk is “Understanding Population-based Migraine Through Genome-wide Genetics” by Daniel Chasman from Brigham and Women’s Hospital.

Neurological disorders is becoming a global burden and ranks 2nd for number of years lost to disability. History of diabetes and hypertension, postmenopausal hormone use, physical activities, alcohol consumption, and smoking status are more frequent in people with migraines. Aging is a very important factor in migraine development. In the WGHS data, 3 SNPs investigated the relationship with migraine. Among them, PRDM16 rs22651899 increases the risk and TRPM8 rs10166942 decrease the risk of migraine, while LRP1 rs11172113 was not associated with migraine. After the first implementation of genetic analysis in 2009 with 3 SNPs, the number of SNPs that are included in the analysis increased gradually through each study, and reach out to 44 genome-wide significant loci in a large population study called IHGC 2016 with 59,042 participants. The genetic risk score (GRS) has been calculated to investigate the shared genetic contribution of ischemic stroke and migraine. In observational studies, migraine with aura is a risk factor for ischemic stroke. The causality of the relationship between migraines and coronary artery disease (CAD), MI, angina and atrial fibrillation have been assessed using Mendelian Randomization (MR). The confirmation was drawn from CAD, MI, angina. Some loci with likely vascular function show concordant susceptibility between migraine, dissection but inverse susceptibility with stroke/ CAD. The higher degree of heterogeneity in migraine genetics makes a more complex underlying biology investigation of this form of the disease. In conclusion, there is a long road ahead in Science to determine the matrix of migraine, SNPs, and other diseases.

October Annoucment!

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!

September Talk: A Student Summary

“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. 

Announcing September BEMC Talk

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/