Short Course on Strengthening Causal Inference in Behavioral Obesity Research
Course on Strengthening Causal Interference
Dates: Monday July 29th to Friday August 2nd, 2024
Format: In person at University of Arkansas for Medical Sciences and Arkansas Children’s Research Institute (Little Rock AR).
Overview:
Identifying causal relations is fundamental to understanding which social and behavioral factors cause variations in obesity, which is a field of both intervention and prevention. Discussions of causation are often limited to a dichotomy of ordinary association tests versus randomized controlled trials, yet there are many other considerations and techniques available to advance causal understanding of obesity. Effectively employing techniques to produce, evaluate, and select among intervention and prevention strategies, as well as to understanding obesity's root causes, requires understanding of underlying principles to tailor approaches to specific and varying situations. Advances in behavioral obesity research require input from disciplines including statistics, economics, psychology, epidemiology, mathematics, philosophy, behavior, genetics, and more. This course includes five days of interactive sessions and engaging speakers to provide key fundamental principles underlying a broad array of techniques, and experience in applying those principles and techniques through guided discussion of real examples in obesity research.
Go to Indiana University's webpage.
Dates: Monday June 26th to Friday June 30th
Format: In person at the IU School of Public Health-Bloomington campus.
Overview:
Identifying causal relations is fundamental to understanding which social and behavioral factors cause variations in obesity, which is a field of both intervention and prevention. Discussions of causation are often limited to a dichotomy of ordinary association tests versus randomized controlled trials, yet there are many other considerations and techniques available to advance causal understanding of obesity. Effectively employing techniques to produce, evaluate, and select among intervention and prevention strategies, as well as to understanding obesity's root causes, requires understanding of underlying principles to tailor approaches to specific and varying situations. Advances in behavioral obesity research require input from disciplines including statistics, economics, psychology, epidemiology, mathematics, philosophy, behavior, genetics, and more. This course includes five days of interactive sessions and engaging speakers to provide key fundamental principles underlying a broad array of techniques, and experience in applying those principles and techniques through guided discussion of real examples in obesity research.
Dates: Friday, July 29th to Friday, August 19th
Format: Remote, synchronous sessions on Friday afternoons (tentatively 12pm to 2pm Eastern), with asynchronous material during the weeks.
Overview:
Identifying causal relations is fundamental to understanding which social and behavioral factors cause variations in obesity, which is a field of both intervention and prevention. Discussions of causation are often limited to a dichotomy of ordinary association tests versus randomized controlled trials, yet there are many other considerations and techniques available to advance causal understanding of obesity. Effectively employing techniques to produce, evaluate, and select among intervention and prevention strategies, as well as to understanding obesity's root causes, requires understanding of underlying principles to tailor approaches to specific and varying situations. Advances in behavioral obesity research require input from disciplines including statistics, economics, psychology, epidemiology, mathematics, philosophy, behavior, genetics, and more. This course includes four interactive, remote, synchronous sessions in conjunction with three weeks of engaging online material to provide key fundamental principles underlying a broad array of techniques, and experience in applying those principles and techniques through guided discussion of real examples in obesity research.
Identifying causal relations is fundamental to understanding which social and behavioral factors cause variations in obesity, which is a field of both intervention and prevention. Discussions of causation are often limited to a dichotomy of ordinary association tests versus randomized controlled trials, yet there are many other considerations and techniques available to advance causal understanding of obesity. Effectively employing techniques to produce, evaluate, and select among intervention and prevention strategies, as well as to understanding obesity's root causes, requires understanding of underlying principles to tailor approaches to specific and varying situations. Advances in behavioral obesity research require input from disciplines including statistics, economics, psychology, epidemiology, mathematics, philosophy, behavior, genetics, and more.
The identification of causal relations is fundamental to a science of intervention and prevention. Obesity is a major problem for which much progress in understanding, treatment, and prevention remains to be made. Understanding which social and behavioral factors cause variations in adiposity and which other factors cause variations is vital to producing, evaluating, and selecting among intervention and prevention strategies as well as to understanding obesity’s root causes, requiring input from disciplines including statistics, economics, psychology, epidemiology, mathematics, philosophy, and in some cases behavioral or statistical genetics.
The identification of causal relations is fundamental to the science of intervention and prevention. Obesity is a major problem for which much progress in understanding, treatment, and prevention remains to be made.
The identification of causal relations is fundamental to the science of intervention and prevention. Obesity is a major problem for which much progress in understanding, treatment, and prevention remains to be made.
The identification of causal relations is fundamental to the science of intervention and prevention. Obesity is a major problem for which much progress in understanding, treatment, and prevention remains to be made.