###:IF: salutation ###Sehr geehrte Frau###:ELSE:###Sehr geehrter Herr###:ENDIF:### ###title### ###lastname###,

wir möchten Sie auf die folgenden Veranstaltungen aufmerksam machen:

1.) Call for Papers - German Conference on Bioinformatics, 16. - 19. September 2019, Heidelberg

2.) Zertifikats-Weiterbildung „Medical Data Science“, 18. Oktober 2019 - März 2020, Heidelberg

3.) Causal Inference in Observational Studies and Clinical Trials Affected by Treatment Switching – A Practical Hands-on Workshop, 18. - 21. März 2019, Hall i.T., Austria

4.) International Symposium and Workshop Physical Activity and Prevention, 21. - 22. März 2019, Raitenhaslach

5.) Händel Seminar: Time Series Analysis in Epidemiology, 09. - 10. Mai 2019, Halle

Dear all,

The organising committee of the German Conference on Bioinformatics https://gcb2019.de/ Heidelberg, 16-19 September 2019) invites you to submit abstracts of papers https://gcb2019.de/submission. The deadline for submission is*15 April 2019*.
Proposals for workshops and tutorials https://gcb2019.de/workshop/ are also very welcome. Topcis can be submitted until *15 February 2019*.

The German Conference on Bioinformatics (GCB) is an annual, international conference devoted to all areas of bioinformatics and meant as a platform for the whole bioinformatics community. Recent meetings attracted a multinational audience with 250 – 300 participants each year.

*/Precision Medicine - where Bioinformatics & Medical Informatics meet./*//

In 2019, the conference focuses on bringing physicians, bioinformatics & medical informatics together and aims to showcase applications and opportunities beyond. Spearheading scientists will be presenting along with young researchers and industry representatives. Workshops will provide opportunities for hands-on experience.
The upcoming GCB will be held at the German Cancer Research Center in Heidelberg (DKFZ). The first day, September 16, is reserved for workshops and satellite meetings. The main conference will take place from September 17-19. The schedule will allow for fly-in on Monday and fly-out on Thursday or Friday.

We look forward to seeing you in Heidelberg

On behalf of all organizers,
best regards,

Christoph Dieterich (conference chair)

Das Zertifikat „Medical Data Science“ ist ein berufsbegleitendes Studienprogramm der Medizinischen Fakultät der Universität Heidelberg mit insgesamt 8 Lehrveranstaltungen.

Die einzelnen Lehrveranstaltungen finden in Blöcken, meistens von Donnerstag bis Samstag, statt. Jede Veranstaltung wird mit einer Prüfung abgeschlossen. Das Studienprogramm dauert zwei Semester (Regelstudienzeit) inklusive einer eigenständigen Projektarbeit als abschließendes Modul. Die angebotenen Module können auch einzeln besucht werden.

Das Studienprogramm wird jedes Jahr angeboten. Die Teilnahme setzt eine erfolgreiche Bewerbung beim Institut für Medizinische Biometrie und Informatik (IMBI) voraus. Zugelassen werden Mediziner, Statistiker und Absolventen verwandter Studiengänge mit Inhalten in Statistik (z.B. Psychologie, Mathematik).

Auf diesen Seiten finden Sie weiterführende Informationen zum Bewerbungs- und Zulassungsprozess, sowie zum Curriculum und Studienverlauf.

Weitere Informationen

Dear Colleagues,

We are pleased to announce our 4-Day Certificate Course “Causal Inference in Observational Studies and Clinical Trials Affected by Treatment Switching: 
A Practical Hands-on Workshop”, 18-21 March 2019 to be held in Hall in Tirol, Austria.

Course Directors:
Uwe Siebert, MD, MPH, MSc, ScD Professor of Public Health, UMIT
Nicholas Latimer, BSc, MSc, PhD Senior Research Fellow in Health Economics, Health Economics and Decision Science, University of Sheffield, UK
Ian White, MA, MSc, PhD Professor of Statistical Methods for Medicine
MRC Clinical Trials Unit at University College London

The workshop combines lectures, discussions, exercises, and hands-on computer lab sessions in the key elements and methods of Causal Inference and covers the following subjects:
- Concepts and methods of causality, counterfactuals and causal inference
- Framing and interpreting causal research questions
- Use of causal diagrams (directed acyclic graphs, DAGs) in observational studies and clinical trials
- The paradigmatic shift from traditional statistical analysis to causal analysis and the difference between naive methods and causal methods
- Adjustment for fixed and time-varying confounding and treatment switching/adherence
- Use of causal methods (g-formula, inverse probability weighting with marginal structural models, g-estimation with structural nested models)
- The target trial concept
- Applying publicly available software to case examples
- Programming analyses in STATA using inverse probability weighting (IPW) with marginal structural models (MSM) and g-estimation with rank-preserving structural failure time models (RPSFTM)
- How to identify the appropriate adjustment method
- Recommendations and guidelines on adjustment methods

Online booking for this course is available via www.umit.at/htads

Group Registrations - Save 15%
Register with three or more colleagues and save
Alumni/Students - Save 20%

Kind regards,

Prof. Dr. Uwe Siebert, MPH, MSc (Course Director)
Felicitas Kuehne, MSc (Course Coordinator)
Marjan Arvandi MStat (Course Co-Coordinator)

Flyer

This course is part of the International HTADS Continuing Education Program developed by the Institute of Public Health, Medical Decision Making and Health Technology Assessment, Department of Public Health, Health Services Research and Health Technology Assessment (Chair: Prof. Dr. Uwe Siebert) at UMIT. The HTADS Program was designed to provide excellent quality education and comprehensive training in the key issues of Health Technology Assessment (HTA) and Decision Sciences (DS) for anyone involved in the health sector. Detailed information about our courses and study programs is available at www.umit.at/htads, via e-mail htads@umit.at or by phone +43 (0)50 8648-3901.

The Chair of Epidemiology will host an International Symposium and Workshop for „Physical Activity and Prevention. Building networks and designing intervention studies" from 21 to 22 March 2019. The Symposium will take place near Munich, Germany, at the TUM Science and Study Center Raitenhaslach.

The goal of this Symposium and Workshop is to bring together experts in the area of Physical Activity and Prevention, who have expertise with large cohort and intervention studies. We would like to learn and network as well as find innovative study designs for future research. We are very delighted that some of the most renowned scientists worldwide in the area of research on population-based physical activity and intervention studies will give keynote lectures and will participate in the panel discussion. Additionally most invited speakers will be around for both days, so that there will be plenty of time for networking.

Programme
The symposium and workshop starts on Thursday, 21 March at 10.30 am with three sessions on “International intervention studies on chronic diseases”, “Cohort studies on chronic diseases and physical activity” and “Monitoring life style behavior – Measuring physical activity and diet”. On the second day, Friday, 22 March, there will be a session on “What makes people active?” and a panel discussion on “Developing the best physical activity interventions and designing high quality long-term intervention studies”, plus enough time for networking discussions.

The detailed agenda including titles of all keynotes and presentations can be downloaded here.

Further information

How do sleep disturbances in humans affect health? How can we identify and characterize relevant pat- terns during sleep using biomedical recordings? The seminar will provide an introduction to time series
analysis in epidemiology with focus on applications in sleep and chronobiology.
In many sub-disciplines of epidemiology, exposure or aggregate outcomes and bio-signals are measured over time, resulting in time series. For example, specific phenomena like human sleep generate long-term
data recordings (ECG, respiration, accelerometry) with changing patterns that have to be computationally characterized and classified for cohort studies.
The seminar with six lectures and three embedded practical tutorials (using the computer software R) will enable epidemiologists and other interested researchers to perform several steps in signal analysis and classification. Epidemiological interpretations of the results in highly relevant current research foci will
also be addressed.

Händel Seminars in Epidemiology
The seminar series will continue the tradition of the Händel School of Modern Epidemiology initiated by Prof. Stang in Halle (Saale) in a different format. We address research questions of modern epidemiology
from a methodological perspective.
Our target group are doctoral students and junior postdocs, but also experienced researchers can find spe- cific topics of interest. We embrace interdisciplinary cooperation and hope to provide input for a broad
spectrum of research areas. Those attending can vote on the topics to be covered in future Händel Seminars.

Prof. Dr. Rafael Mikolajczyk
PD Dr. Jan Kantelhardt

Venue:
Institute of Medical Epidemiology, Biometry and Informatics
Martin-Luther-University Halle-Wittenberg
Magdeburger Str. 8, 06112 Halle (Saale)

Website: www.medizin.uni-halle.de/imebi

Costs: Seminar fee is 150€ (reduced fee of 50€ is applicable to PhD students)

Registration:
Nadine Pietsch
Institute of Medical Epidemiology, Biometry and Informatics
Magdeburger Str. 8, 06097 Halle
Telephone: + 49 (0)345 557 7930
E-Mail: nadine.pietsch@uk-halle.de