Intensive Short Courses an der BSPH

Die Teilnehmerinnen und Teilnehmer der Intensive Short Courses erwerben kompaktes Wissen in Public Health und Epidemiologie. Die Vermittlung von Methodenkenntnissen ist ein wichtiger Schwerpunkt.

Die Kurse richten sich an Doktoranden, Studierende aus Public Health Masterstudiengängen im In- und Ausland und an Beruftstätige.

Eine Übersicht der Kurse der vergangenen Jahre finden Sie unter "Archiv".

Sie befinden sich hier:

Intensive Short Courses sind:

  • sind Bestandteil des Postgraduiertenprogramms des Instituts für Public Health der Charité - Universitätsmedizin Berlin
  • werden von Dozierenden renommierter Hochschulen und Forschungseinrichtungen geleitet
  • werden in der Regel in englischer Sprache angeboten
  • haben grundsätzlich Lehrcharakter
  • sind mit ECTS ausgewiesen
  • erfordern eine Prüfungsleistung

Intensive Short courses 2020

Miguel Hernán / Katalin Gémes: Causal inference - Learning what works, February 19 - 20, 2020

Causal inference: Learning what works

Lecturers: Miguel Hernán (Departments of Epidemiology and Biostatistics, Harvard T.H. Chan School of Public Health), Katalin Gémes (Karolinska Institutet, Sweden)

Biography: Miguel Hernán conducts research to learn what works to improve human health. Together with his collaborators, he designs analyses of healthcare databases, epidemiologic studies, and randomized trials. Miguel teaches clinical data science at the Harvard Medical School, clinical epidemiology at the Harvard-MIT Division of Health Sciences and Technology, and causal inference methodology at the Harvard T.H. Chan School of Public Health, where he is the Kolokotrones Professor of Biostatistics and Epidemiology. His edX course Causal Diagrams and his book Causal Inference, co-authored with James Robins, are freely available online and widely used for the training of researchers. Miguel is an elected Fellow of the American Association for the Advancement of Science and of the American Statistical Association, an Editor of Epidemiology, and past Associate Editor of Biometrics, American Journal of Epidemiology, and the Journal of the American Statistical Association.

Katalin Gémes is a postdoctoral researcher at the Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden. She defended her PhD work in the field of Public Health Epidemiology. She currently works with combining data from observational studies and routinely collected administrative information to compare the effectiveness of different hypothetical interventions on diet and alcohol consumption on the risk of cardiovascular diseases.

Course objectives: To learn how to determine “what works” using data from observational and randomized studies 

Description: The course introduces students to a general framework for the assessment of comparative effectiveness and safety, with an emphasis of the use of routinely collected data in healthcare settings. The framework relies on the specification and emulation of a hypothetical randomized trial: the target trial. The course explores key challenges for causal inference and critically reviews methods proposed to overcome those challenges. The methods are presented in the context of several case studies for cancer, cardiovascular, and renal diseases.

Learning Objectives: After successful completion of this course, students will be able to:

  • Formulate sufficiently well-defined causal questions for comparative effectiveness research
  • Specify the protocol of the target trial
  • Design analyses of observational data that emulate the protocol of the target trial
  • Identify key assumptions for a correct emulation of the target trial

Pre-course reading: Chapters 1-3 of the book Hernán MA, Robins JM (2020). Causal Inference: What If. Boca Raton: Chapman & Hall/CRC, forthcoming. The book can be downloaded (for free) from http://www.hsph.harvard.edu/miguel-hernan/causal-inference-book/

ECTS:

1.25 ECTS 

Fees:

  • 312,50 €
  • 212,50 € for enrolled students (proof required)

Registration:

Please use the registration form or send an e-mail to Tanja Te Gude
Tel. +49 30 450 570 812

Julie Buring / Pamela Rist / Bill Miller: From methods to manuscript, March 23 - 27, 2020

A modern researcher's toolbox: from methods to manuscript

Date: March 23 - 27, 2020

Pre-requisites: Introductory level epidemiology and statistics. This is a masters level / postgraduate course.

Part 1: March 23rd and 24th - Julie Buring and Pamela Rist

Course Description: During this two day course, participants will develop a solid foundation of applied principles and methods of epidemiology, use these to evaluate relevant clinical and public health questions, and turn their research into publishable work. The format will include lectures, group exercises and seminars.

  • Critical Thinking in Epidemiology: Examples from the Literature
  • Types of Epidemiologic Studies in the Literature (Descriptive, Analytic)
  • Measures of Disease Frequency, Measures of Association and their Scales
  • Interpretation of the Findings: Association versus Causation
  • Critical Evaluation of the Medical Literature
  • Principles of Randomized Trials; Strengths and Weaknesses
  • Sample size and power, P-values and confidence intervals
  • Screening

Please click here for a detailed schedule.

Part 2: March 25th to 27th - Bill Miller

Course Description: This three-day course is designed to improve the participants’ scientific writing. The focus will be on manuscripts for publication, but the principles apply to all forms of scientific writing. The objectives of this course are to:

  • Understand the components of typical scientific publications and maximize the potential for communicating a study’s results effectively.
  • Improve the writing style to enhance communication, focusing on writing clearly and concisely.
  • Identify ways to improve the participant’s writing effectiveness.
  • Understand the editorial and review process of journals, including responding to reviews and giving strong reviews as a reviewer.

Please click here for a detailed schedule.

Pre-course Preparations for Part 2:

Identify 2-4 papers of interest to you in the scientific literature with the following characteristics:

  • A well-written paper that is easy to read
  • A poorly written paper that is difficult to read
  • A paper in a general journal (e.g. JAMA, Lancet, etc.)
  • A paper in a specialty journal

Bring your own manuscripts that you are working on – just starting, drafts completed, or nearly finished. Any status is acceptable. If you don’t have papers, consider bringing a grant or an abstract.

Lecturers:

  • Julie E. Buring, ScD, Professor of Medicine, Harvard Medical School and Professor of Epidemiology, Harvard T.H. Chan School of Public Health
  • Pamela M. Rist, ScD, Assistant Professor of Medicine, Harvard Medical School and Assistant Professor of Epidemiology, Harvard T.H. Chan School of Public Health
  • William (Bill) Miller, MD, PhD, MPH, Senior Associate Dean for Research and Professor, Division of Epidemiology in the College of Public Health at The Ohio State University

ECTS:

Students can take Parts 1&2 for 3 ECTS, only Part 1 for 1.25 ECTS or only Part 2 for 1.75 ECTS

Fees:

  • 750 € for Part 1&2
  • 312,50 € for Part 1 only | 437,50 € for Part 2 only

Enrolled students (proof required):

  • 510 € for Part 1&2
  • 212,50 € for Part 1 only | 297,50 € for Part 2 only

Venue:

Charité Campus Mitte
Hans-Virchow-Hörsaal
Wilhelm-Waldeyer-Haus
Philippstraße 11
10115 Berlin

Registration:

Please use the registration form or send an e-mail to Tanja Te Gude
Tel. +49 30 450 570 812

Malcolm Barrett: Mastering R for Epidemiologic Research, July 27 - 31, 2020

Advanced Epidemiologic Methods: Mastering R for Epidemiologic Research

The course is for researchers, public health professionals, epidemiologists, and clinicians who want to improve their R coding skills, who want to learn modern tools in the R ecosystem, like the tidyverse and Shiny, or who want to get started writing software in R.

Date: July 27 - 31, 2020

Lecturer: Malcolm Barrett, MPH

Malcolm Barrett is a PhD candidate in epidemiology at the University of Southern California. He studies vision loss and eye diseases that affect vision, like diabetic retinopathy. Specifically, he works on methods to improve the study of how vision impacts quality of life, including tools from psychometrics and causal inference, to make vision-specific quality of life analyses more accurate and more interpretable. In addition to applied research, Malcolm also develops R packages for epidemiologic and biostatistical methods, teaches R, and organizes the Los Angeles R Users Group. He regularly contributes to open source software, including favorite community projects like ggplot2 and R Markdown.

Learning objectives:

At the end of the week, participants will have:

  • Mastered the tidyverse, a set of principled tools for data science. The tidyverse is a friendly, readable, and fast set of packages intended to work well together, to improve code readability, and to make analyses more reproducible.
  • Written dynamic documents using best practices for reproducible research, including using R Markdown. R Markdown intertwines code and text so that reports and articles are fully reproducible and exportable to PDF, HTML, Word, and more. R Markdown also has excellent support for citation management and formatting for journals.
  • Modeled simple statistical and causal problems using both classical regression (linear, logistic) and G-methods.
  • Written robust functions, programmed with functions, and created a basic R package.
  • Built ready-to-share web applications entirely in R using the Shiny framework.

Pre-requisites:

Basic epidemiology and statistics. Some experience with R programming will be helpful, but those new to R can take a free introductory course on DataCamp: https://www.datacamp.com/courses/free-introduction-to-r  

Materials:

R for Data Science (https://r4ds.had.co.nz/) and Advanced R, ed. 2 (https://adv-r.hadley.nz/), both free online.

Course Information:

  • Course language: English
  • ECTS points: 3
  • Course Fee: 510€ for students, 750€ for other participants

Download Flyer here.

Registration:

Please use the registration form or send an e-mail to Tanja Te Gude

Tel. +49 30 450 570 812

Charles Poole: Systematic reviews and Meta-Analysis, August 03 - 07, 2020

Meta-Analysis and Systematic Review

Date: August 03 - 07, 2020

Part 1: August 3rd and 4th - to be confirmed

Part 2: August 5th to 7th - Charles Poole

Lecturers:

Charles Poole, ScD, is associate professor in the department of epidemiology at Gillings School of Global Public Health, University of North Carolina.

    Course Description: More info to come

    Pre-requisites: Introductory level epidemiology and statistics. This is a masters level / postgrauduate course.

    ECTS:

    Parts 1&2 for 3 ECTS, or only Part 1 for 1.25 ECTS or only Part 2 for 1.75 ECTS

    Fees:

    • 750 € for Part 1&2
    • 312,50 € for Part 1 only | 437,50 € for Part 2 only

    Enrolled students (proof required):

    • 510 € for Part 1&2
    • 212,50 € for Part 1 only | 297,50 € for Part 2 only

    Venue: Charité Virchow Campus

    Registration:

    Please use the registration form or send an e-mail to Tanja Te Gude
    Tel. +49 30 450 570 812

    Rolf H.H. Groenwold / Maarten van Smeden: Causal research and prediction modeling, August 17 - 21, 2020

    Advanced Epidemiologic Methods: causal research and prediction modeling

    Date:  August 17 - 21, 2020

    Lecturers:

    • Rolf H.H. Groenwold, MD, PhD, Leiden University Medical Center (NL)
    • Maarten van Smeden, PhD, Leiden University Medical Center (NL)

    Learning objectives:

    By the end of this week, participants should be able to:

    • Critically assess the results of epidemiological studies on causal relationships or prediction models
    • Correctly define exposures and learn how to best represent them in models
    • Understand difference between various sources of bias (confounding, measurement error and missing data) and the way these biases may differentially affect studies on causal relationships and prediction models.
    • Describe key assumptions of methods used to control for (time-varying) confounding.
    • Describe key assumptions of methods used to handle missing observations.
    • Understand the reasons for and consequences of overfitting prediction models
    • Describe recent developments in the fields of causal research and prediction modelling

    Prerequisites:

    • Basic knowledge of epidemiology
    • Familiarity with R statistical software (for a short introduction see http://www.r-tutorial.nl/)

    Fees:

    • 750 €
    • 510 € for enrolled students (proof required)

    3 ECTS

    Registration:

    Please use the registration form or send an e-mail to Tanja Te Gude
    Tel. +49 30 450 570 812
    Email

    Download Flyer here

    Gesundheitspädagogik, 24.08. - 28.08. und 17.09. - 19.09.2020 (2 Blöcke)

    Datum: 24.08. - 28.08. und 17.09. - 19.09.2020

    Block 1: Montag, 24.08.20 bis Freitag, 28.08.20 jeweils von 9-17 Uhr

    Block 2: Donnerstag,17.09.20 und Freitag 18.09.20 von 9-17 Uhr, Samstag 19.09.20 von 9-12:30 Uhr.

    Dozent:
    Marcus Kuhn, Schulforschung / Bildungswissenschaften, Fakultät Erziehungswissenschaften und Psychologie, Freie Universität Berlin

    Inhalte:

    • Gegenstand, Problemstellungen und Grundlagen der Gesundheitspädagogik
    • Grundbegriffe und Grundfragen der Erziehungswissenschaften; Einblicke in die Erziehungs- bzw. Bildungswissenschaften als Wissenschaftsdisziplin in ihrer historischen Entwicklung, ihren wissenschaftstheoretischen Ansätzen sowie ihren zentralen Forschungsfeldern
    • Überblick über die pädagogischen Grundbegriffe Lernen, Entwicklung, Erziehung, Bildung und Sozialisation
    • Überblick über die Handlungsfelder und Adressatengruppen pädagogischen Handelns mit besonderem Fokus auf die Praxis der Gesundheitsprofessionen
    • Edukative Interventionsstrategien der Gesundheitswissenschaften (Information, Aufklärung, Beratung, Anleitung)
    • Konzeption, Implementierung und Evaluation gesundheitspädagogischer Maßnahmen in diversen Settings, mit verschiedenen Zielgruppen und unterschiedlicher Reichweite

    Zielgruppe:
    Interessenten für den Masterstudiengang Health Professions Education

    Gebühren:
    850 €

    Prüfungsleistung:
    Referat mit schriftlicher Ausarbeitung

    5 ECTS

    Anmeldung:
    Bitte nutzen Sie das Anmeldeformular oder senden eine E-mail an Tanja Te Gude
    Email

    Tel. +49 30 450 570 812

    Flyer: Flyer mit detailliertem Programm

    Tobias Kurth / Kristina Fišter: How to publish a research paper in a major biomedical journal, September 15 - 18, 2020 in Zagreb

    University of Zagreb – School of Medicine, Andrija Štampar School of Public Health and CharitéUniversitätsmedizin Berlin, Institute of Public Health in affiliation with the Berlin School of Public Health are organising a postgraduate continuing medical education course: "How to publish a research paper in a major biomedical journal".

    Date: September 15 - 18, 2020

    Lecturers:
    Tobias Kurth (MD, ScD), Professor, Director of the Institute of Public Health, Charité - Universitätsmedizin Berlin
    Kristina Fišter (MD, MSc, DSc), Assistant Professor, Andrija Štampar School of Public Health, University of Zagreb,
    Editors of the British Medical Journal (BMJ) and Canadian Medical Association Journal (CMAJ)

    About the Short Course

    Publishing visibly is closely linked with success in obtaining grants, yet competition for space is fierce, particularly in major biomedical journals. As research methods evolve and the publishing landscape changes, continuing education in knowledge and skills needed to produce quality research articles is necessary. This is all the more relevant as capacity is strengthened for health data sciences and decisions are increasingly made based on solid evidence.

    Participants will gain knowledge and develop multiple skills needed to produce a high-quality research paper. This includes posing an important and relevant research question, searching biomedical literature, choosing an appropriate study design, writing a research protocol, using electronic data capture solutions, conducting data analysis using the statistical program R and interface RStudio, critically interpreting the findings, and approptiate referencing of previous work. From methods to manuscript, participants will develop the necessary skills to successfully produce a manuscript suitable for submission to a top biomedical journal.

    The course is designed for medical doctors, studants and graduates of biomedical and health disciplines.

    Where

    Zagreb, Croatia

    Language

    English

    Credits

    3 ECTS points

    To Apply

    For more information and to apply for the course please email or visit https://mef.unizg.hr/en/how-to-publish-a-research-paper-in-a-major-biomedical-journal

    Course Fees

    400 €, 300 € for students.

    Contact

    E-mail: publish(at)mef.hr

      Merrick Zwarenstein / Lars Hemkens: Designing pragmatic trials, September 23 – 25, 2020

      Weitere Informationen folgen in Kürze.

      Dozenten:

      Merrick Zwarenstein, MBBCh, MSc, PhD
      Professor, Department of Family Medicine, Epidemiology & Biostatistics, Western University, Ontario, Canada
      Lars Hemkens, MD, MPH
      Deputy Director Basel Institute for Clinical Epidemiology and Biostatistics (ceb), Schweiz
      Visiting Fellow Berlin Institute of Health

      Anmeldung Intensive Short Courses










      Das könnte Sie auch interessieren: