Intensive Short Courses at the BSPH

Participants in the Intensive Short Courses (ISC) acquire in-depth knowledge with a methodological focus on a specialized topic in public health and epidemiology.

The ISCs are aimed at PhD students and students from public health master's programmes and external participants from Germany and abroad and professionals.

 

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Intensive Short Courses:

  • are held in cooperation with lecturers from renowned universities and research institutes from Germany and abroad
  • are part of the postgraduate programs offered by the Institute of Public Health at Charité - Universitätsmedizin Berlin
  • usually offered in English
  • award ECTS credits
  • require a performance assessment

Unfortunately we are unable to offer funding assistance. Please contact scholarship opportunities such as DAAD directly to see if they have funding available.

Intensive Short courses 2020

Miguel Hernan / 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 Gemes (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.

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 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

Part 1 March 23 - 24 (Julie Buring and Pamela Rist)

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

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 refine their ability to critically analyze the epidemiologic, clinical, and public health literature.  The format will include lectures, group exercises, and seminars.

Pre-requisites: None

Topics Part 1 (Julie Buring and Pamela Rist):

  • Introductions and Objectives of the Short Course, 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 25 - 27, 2020 (Bill Miller)

Writing styles, manuscript format, paper and proposal writing: overview, writing process, scientific writing exercises, editorial process & reviewing, …

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 € (375€ for one part only)
  • 510 € (255€ for one part only) for enrolled students (proof required)

Venue:

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

Registration:

Please 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

Registration:

Please send an e-mail to Tanja Te Gude

Tel. +49 30 450 570 812

Charles Poole: Systematic reviews and Meta-Analysis, August 03 - 06, 2020

Systematic Review and Meta-Analysis

Date: August 03 - 07, 2020

Part 1 August 03 - 04 (NN)

Part 2 August 05 - 07 (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: None

    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 € (375€ for one part only)
    • 510 € (255€ for one part only) for enrolled students (proof required)

    Venue:

     

    Registration:

    Please 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 Information:
    Tanja Te Gude
    Tel. +49 30 450 570 812
    Email

    Gesundheitspädagogik, 24.08.- 28.08. und 17.09.- 19.09.2019 (2 Blöcke)

    Datum: 24.08.- 28.08. und 17.09.- 19.09.2019

    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 per 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

      More information to come soon.

      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), Switzerland
      Visiting Fellow Berlin Institute of Health

      Intensive Short Courses 2019

      Advanced Epidemiologic Methods: Mastering R for Epidemiologic Research, 2.9. - 6.9.2019

      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: 02.09. - 06.09.2019

      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-requisits:

      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

      Registration:

      Please send an e-mail to Tanja Te Gude

      Tel. +49 30 450 570 812

      To download the flyer, please click here

      Applied Digital Health, 19.8. - 23.8.2019

      Date: 19.8.-23.8.2019

      Lecturers:

      • Dr. Dipl.-Vw. Josef Schepers, Berlin Institute of Health
      • Prof. Dr. Sylvia Thun, Berlin Institute of Health
      • Prof. Dr. Dr. Felix Balzer and team, Charité - Universitätsmedizin Berlin
      • Prof. Dr. Igor M. Sauer, Charité - Universitätsmedizin Berlin
      • Prof. Dr. Bert Arnrich, Hasso-Plattner-Institute
      • Dr. Kai Heitmann, HL7 Deutschland
      • Prof. Dr. Markus Feufel, Technical University Berlin

      Topics:

      • Interoperability and standards
      • Connected Health
      • Digital Surgery - Extended Reality (XR) and Robotics in Visceral Surgery
      • Human factors (tbd)
      • Telemedicine/Remote Patient Monitoring
      • Data management and registries

      Prerequisites:

      • Basic analytic background (statistics, epidemiology), basic computing skills

      Fees:

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

      Examination: Several multiple choice quizzes

      3 ECTS

      Registration:

      Please send an e-mail to Tanja Te Gude

      Tel. +49 30 450 570 812

      Tel. +49 30 450 570 812

      Email

      Flyer: To download the flyer please click here.

      Advanced Epidemiologic Methods: Rethinking Basic Epidemiologic Concepts, 12.8. - 16.8.2019

      Date: 12.8.-16.8.2019

      Lecturer:

      Matthew Fox, Professor in the Department of Global Health and Epidemiology at Boston University

       

      Learning objectives:

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

      • Use the sufficient cause model, counterfactual susceptibility type model, and a causal graph to assist with the design or analysis of an epidemiologic study.
      • Calculate adjusted measures of effect and select those that, when collapsible, correspond to the no-confounding condition. Use the adjusted measures of effect to estimate the direction and magnitude of confounding.
      • Distinguish effect measure modification, interdependence, and statistical interaction from one another as separate - but related - concepts of interaction.
      • Identify the likely magnitude and direction of bias due to misclassification of exposure, outcomes, confounders and modifiers. Weigh the advantages and disadvantages of significance testing.
      • Compare the advantages and disadvantages of frequentist and Bayesian approaches to analysis of a single study, to eveidence, and to changing your mind.

      Prerequisites:

      • Basic knowledge of epidemiology and biostatistics

      Fees:

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

      3 ECTS

      Registration:

      Please send an e-mail to Tanja Te Gude

      Tel. +49 30 450 570 812

      To open the Flyer please click here

      Medical Informatics, 05.8. - 09.8.2019

      Lecturers:

      • Prof. Dr. Sylvia Thun, Berlin Institute of Health
      • Prof. Dr. Dr. Felix Balzer, Charité - Universitätsmedizin Berlin
      • Dipl.-Ing. Andreas Kofler, Charité - Universitätsmedizin Berlin
      • Prof. Dr. Tim Conrad, Free University Berlin & Zuse Institute Berlin
      • Dr. Martin Haase, Technical University Berlin

      Topics:

      • Introduction to Health Information Technology
      • Information Extraction from Electronic Health Records
      • Terminologies and Ontologies
      • Introduction to programming
      • Medical imaging, pattern recognition
      • Analysis of large data-sets
      • Data protection and regulatory aspects

      Prerequisites:

      • Basic analytic background (statistics, epidemiology), basic computing skills

      Fees:

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

      Examination: Several multiple choice quizzes

      • 3 ECTS

      Registration:

      Please send an e-mail to Tanja Te Gude

      Tel. +49 30 450 570 812

      Tel. +49 30 450 570 812

      Email

      Flyer: To download the flyer, please click here.

      (Only in German) Gesundheitspädagogik, 29.07.- 02.08. und 29.08.- 31.08.2019 (2 Blöcke)

      Please switch to the German Website for more information.

      How to publish a research paper in a major biomedical journal, 22.05. - 24.05.2019

      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: 22.05. - 24.05.2019

      Lecturer:
      Charité - Universitätsmedizin Berlin:
      Tobias Kurth (MD, ScD), Professor, Director of the Institute of Public Health
      Marco Piccininni, MSc Statistician, PhD Candidate
      Jessica Rohmann, MSc Epidemiologist, PhD Candidate

      Andrija Štampar School of Public Health, University of Zagreb
      Kristina Fišter (MD, MSc, DSc), Assistant Professor, Andrija Štampar School of Public Health
      Pero Hrabač (MD), Assistant, PhD Candidate
      Danko Relić (MD), Assistant, PhD Candidate

      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 refresh the existing and gain new knowledge and skills needed to produce a high-quality research paper. This includes posing an important and relevant research question, choosing an appropriate study design, writing a research protocol, using electronic data capture solutions, conducting data analysis using statistical program R, interpretation of the findings, searching biomedical literature, writing a research paper and referencing previous work, as well as submitting the paper to a top biomedical journal.

      The course is designed for medical doctors of all specialties as well as other biomedical and health professionals.

      Language

      English

      Credits

      2.4 ECTS points (University of Zagreb School of Medicine)

      To Apply

      Applications for the course are accepted at this link.

      Course Fees

      500 € (includes lunches and refreshments during breaks).

      Contact

      For all queries please get in touch with Mrs Andrea Brozović, Course Administrator
      Phone: +385 1 45 90 107, Email: publish(at)mef.hr

      Link

      Intensive Short Courses 2018

      Advanced Epidemiologic Methods – causal research & prediction modelling, 20.8.-24.8.2018

      Date: 20.8.-24.8.2018

      Lecturer:

      • 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 Information:

      Tanja Te Gude

      Tel. +49 30 450 570 816

      Email

      Principles and Methods of Epidemiology: Critiquing the Medical Literature, 12.4. - 14.4.2018

      Date: 12.4.-14.4.2018

      Lecturer:

      • Julie E. Buring, ScD, Professor of Medicine, Harvard Medical School
      • Pamela Marie Rist, Sc.D. Instructor, Harvard Medical School

      Learning objectives:

      During this 3-day short 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 refine their ability to critically analyze the epidemiologic, clinical, and public health literature. The format will include lectures, group exercises, and seminars.

      Prerequisites:

      • Basic knowledge of epidemiology
      • Basic medical knowledge

      Fees:

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

      ECTS: 1,25

      Registration Information:
      Tanja Te Gude
      Tel. +49 30 450 570 812

      Epidemiology II, Prof. Dr. Andreas Stang, February - March 2018

      Course is in German. Please look at the German website for more details.

      This could also be of interest: