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Structured PhD Program «Epidemiology and Biostatistics»

Methods seminar

Content

The methods seminar is not only an important part of the curriculum but also very important for interdisciplinary exchange between students of the different labs. It is the only course all students independent of the lab have to take. This is the place where students meet each other and get to know each other. It is not a classical lecture but generally a group of students is responsible for organising one session with support of a faculty. Therefore students of different labs have to collaborate and organize a lecture. Contentwise, we are looking at very broad topics such as visualisation, regression, personalized medicine, reproducibility & ethics, spatial epidemiology and biomedical & research ethics.

Obtaining ECTS

In order to be awarded the ECTS you have to book the methods seminar (STA880DP) via the UZH module booking system (OLAT is not a booking system, it is an e-learning system into which the students who booked the module are imported).

We expect that you only book the module if you actively participate in the preparation of a group session and we rely on your responsibility and on peer pressure to prevent abuse of this simple system of awarding ECTS. If you are late in booking or if you need to book a spring/fall semester version for the second time, contact the Program Coordinator. Even if you don't book the module you are invited to come to the sessions and/or to actively participate in their preparation: you will learn nothing non-useful for your future career!

Spring 2024 - Creating, Maintaining, and Operating a Free Research Software Environment

Time: Wednesdays, 14.00 – 16.00  Venue: KOL-F-123.  Lead: Torsten Hothorn

Dates

February 21

March 6

March 20

April 10

April 17

May 8

May 22

Topics

Installing a Free Operating System

Making the System Secure

Surviving in Hostile Networks

Communication and Data Management

Data Analysis

Typesetting

Reporting

Long-term Stability

Previous methods seminars

Year Topic Lead
Fall 23 Bayes for everyone Malgorzata Roos
Spring 23 Causal inference methods in Epidemiology Miquel Serra Burriel
Fall 22 Qualitative research methods in Epidemiology / mixed-methods Felix Gille
Spring 22 Personalised medicine Milo Puhan
Fall 21 Causal Interpretations from randomised trials: The devil is in the detail Torsten Hothorn
Spring 21 Visualization Milo Puhan
Fall 20

Misconceptions and misspecifications in the interpretation of evidence

Torsten Hothorn
Spring 20 Introduction to machine learning Mark Robinson
Fall 19 Reproducibility Eva Furrer
Spring 19

Biomedical and research ethics

Milo Puhan
Fall 18 Spatial epidemiology Oliver Grübner
Spring 18 Regression Torsten Hothorn
Fall 17 Visualization Milo Puhan
Spring 17 Reproducibility and ethics Torsten Hothorn
Fall 16 Misconceptions and missspecifications in the interpretation of evidence Leonard Held
Spring 16 Personalized medicine Milo Puhan
Fall 15 Visualization Milo Puhan
Spring 15 Reproducibility and ethics Torsten Hothorn, Milo Puhan
Fall 14 Introduction to Epidemiology Milo Puhan

 

Weiterführende Informationen