Staff Member
Samuel Pawel
Good Statistical Practice
MNF
Enrollment is Closed
About This Course
The module "Good Statistical Practice" introduces students to the concepts of research integrity that are related to the practice of statistics. This includes ethical principles of statistical practice, effective written, visual, and oral communication, and reproducible and efficient computational practice. Besides theoretical insights into the foundations of statistical practice, students acquire practical skills using modern computational tools (e.g. dynamic reporting and version control), learn how to program reproducibly in R, and effectively present and write up statistical results.
The module provides insights and practical tools that are useful throughout the curriculum of the Master Program in Biostatistics or other programs focused on quantitative research. It is taught in a flipped classroom setting: Students are required to learn about concepts using provided material and complete assignments before an in-person session. Assignments and the in-person session contain peer and staff feedback and assessment.
Requirements
Solid knowledge of the Statistical Computing Environment R and basic knowledge in statistics.
Course Staff
Staff Member
Manuela Kehl
Frequently Asked Questions
Is this online course a regular UZH module?
This online course complements the regular module STA472. For details see UZH Course Catalogue.
Do I have to come to class?
Absolutely, this is a flipped classroom style lecture. We meet every Monday at 16:15 in Y27H46.
Do I need a particular laptop/operating system?
No. We will install some open source software, running on Windows/Linux/OSx derivates. The installation process is part of the lecture.
Is there a final exam?
No. There is a portfolio assessment: checked through quizzes, tasks and questions in the Open edX course, submitting and assessing assignment responses on Open edX and GitLab. Details are announced in class and in the Open edX course.