YoVDO

Causal and Associational Language in Observational Health Research

Offered By: Alan Turing Institute via YouTube

Tags

Epidemiology Courses Public Health Courses Health Policy Courses Research Methodology Courses Scientific Writing Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore the nuances of causal and associational language in observational health research through this insightful 55-minute lecture delivered by Sarah Wieten from the University of Durham. Gain a deeper understanding of how language choices impact the interpretation and communication of research findings in the field of health. Examine the distinctions between causal and associational claims, and learn to critically evaluate the use of these linguistic elements in scientific literature. Discover the implications of language selection on research validity, policy decisions, and public health interventions. Enhance your ability to accurately convey and interpret observational health research results, ensuring more precise and responsible scientific communication.

Syllabus

Causal and associational language in observational health research


Taught by

Alan Turing Institute

Related Courses

Health in Numbers: Quantitative Methods in Clinical & Public Health Research
Harvard University via edX
Social Epidemiology
University of Minnesota via Coursera
Diabetes - a Global Challenge
University of Copenhagen via Coursera
Epidemics - the Dynamics of Infectious Diseases
Pennsylvania State University via Coursera
Epidemiology: The Basic Science of Public Health
The University of North Carolina at Chapel Hill via Coursera