Menu

2 of 22 total results match your filters: graduate Clear all filters

Read about courses in a range of fields at a variety of institutions where students have learned TIER-like methods of reproducible research. Course syllabi, exercises, project instructions and other course documents are available for download.

Open Science: The New Default in Science

Eindhoven University of Technology
library graduate
Research Data Management, Spring 2019
Instructor: Leon Osinski

This course is taught by the library and designed for Ph.D. students. It is a component of a larg...

Open Science: The New Default in Science

Eindhoven University of Technology

Research Data Management, Spring 2019
Instructor: Leon Osinski

This course is taught by the library and designed for Ph.D. students. It is a component of a larger section on Open Science required as part of the university’s general training program for Ph.D. students. In this course, the TIER Documentation Protocol is taught as an organizational principle for research data and affiliated objects. Course participants find the Protocol structure helpful for their work.

Download course documents

Advanced Quantitative Data Analysis for Health Care Research II

George Mason University
public health graduate SAS
Global and Community Health 805, Fall 2017
Instructor: Jenna Krall

This is a second year Master of Public Health elective in statistics. Students are already famili...

Advanced Quantitative Data Analysis for Health Care Research II

George Mason University

Global and Community Health 805, Fall 2017
Instructor: Jenna Krall

This is a second year Master of Public Health elective in statistics. Students are already familiar with regression modeling, and spend this course applying statistical methods. The course aims to introduce some advanced topics (e.g. longitudinal data analysis and survival analysis), while giving students hands-on data analysis experience. This course involves a semester-long data analysis project that uses the Project TIER protocol. The students have previously applied statistical methods in the classroom, but have not seen a data analysis project from start to finish, e.g. identifying the dataset through writing up the final project.

Download course documents