Define several types of observational studies, interpret their results, and describe how health registries can be used to make decisions about best clinical care.
Are you interested in diving deep into the world of health research beyond traditional clinical trials? Our course, "Observational Studies in Comparative Effectiveness Research," offers a comprehensive exploration of alternative research methodologies that are crucial in today's healthcare landscape. This course is designed to equip you with the knowledge and skills to understand, interpret, and apply observational studies in comparative effectiveness research (CER).
While not mandatory, it is recommended that students have completed the introduction course (CERTaIN.1x). This course is designed for those with a basic understanding of health research concepts and an interest in expanding their knowledge in comparative effectiveness research and patient-centered outcomes research methods.
This course is ideal for:
The skills acquired in this course have numerous practical applications:
Each module covers specific topics and analytical methods, providing a comprehensive understanding of observational studies in CER. By the end of this course, you'll be equipped with the knowledge and skills to contribute meaningfully to the field of health research and make data-driven decisions in healthcare settings.
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Developed by leading researchers and clinicians from across Canada, this course will enhance knowledge and skills for clinicians who are using or beginning to use a biosimilar or biologic medicine in their professional practice setting.
Developed by leading researchers and clinicians from across Canada, this course will enhance knowledge and skills for patients who are using, or beginning to use, an originator or biosimilar biologic medicine.
In this course, you will develop a working knowledge of linear relationship data in healthcare and practice using R statistical programming to analyze this data. This course covers the concepts of correlation and linear relationships, ordinary least squares (OLS) linear regression, diagnostic tests for OLS linear regression, and dummy variables.
Economic development is about making a difference in the lives of the poor, through interventions in the health, education, microfinance, transport, agriculture, and other sectors. This course will provide you with the experimental and statistical tools you need to measure the impacts you are hoping to see. How do you design and conduct a randomized control trial, and how do you evaluate the data using regression techniques? What other quasi-experimental methods can be used? How do you know you’re making a difference?
This course is designed as a basic introduction to the complex world of research methods and provides both theoretical and practical information for students to give them a foundation for carrying out research in a wide range of disciplines using quantitative, qualitative, and mixed methods.
