Presented By: Summer Institute in Survey Research Techniques
Using SMART Design in Responsive Survey Design (one-day workshop)
Danny Almirall
For more information on this program, please visit the RSD Program web site: https://rsdprogram.si.isr.umich.edu/
Not for academic credit workshop (*Remote participation option available)
RSD has financial support available to those who qualify
Responsive survey design (RSD) refers to a method for designing surveys that has been demonstrated to increase the quality and efficiency of survey data collection. RSD uses evidence from early phases of data collection to make design decisions for later phases. Beginning in the 2018 Summer Institute, we will offer a series of eleven one-day short courses in RSD techniques.
*Remote participation option: It is not necessary to be physically in Ann Arbor to participate in these workshops. Students who cannot be in Ann Arbor can enroll and join sessions via BlueJeans (https://www.bluejeans.com/). Once enrollment is confirmed via email, indicate if course attendance will be in person, in Ann Arbor or via BlueJeans. Survey Methodology for Randomized Controlled Trails does not have the remote participation option.
Topics covered: The effective treatment and management of a wide variety of health disorders often requires individualized, sequential decision making whereby treatment is adapted over time based on the changing disease state or specific circumstances of the patient. Adaptive interventions (also known as dynamic treatment regimens) operationalize this type of individualized treatment decision making using a sequence of decision rules that specify whether, how, for whom, or when to alter the intensity, type, or delivery of pharmacological, behavioral, and/or psychosocial treatments. There has been a huge surge of scientific interest in constructing adaptive interventions via the sequential multiple assignment randomized trial (SMART) design. SMART is a type of multi-stage randomized trial design, developed specifically for the purpose of collecting high-quality data for building optimal adaptive interventions. SMARTs are still new to the great majority of behavioral and social science investigators. In this course, we will introduce adaptive interventions, SMART (including simple design principle, cutting-edge analytic methods (e.g., Q-Learning) for SMART data, and discuss how these ideas can guide responsive and adaptive survey designs.
Not for academic credit workshop (*Remote participation option available)
RSD has financial support available to those who qualify
Responsive survey design (RSD) refers to a method for designing surveys that has been demonstrated to increase the quality and efficiency of survey data collection. RSD uses evidence from early phases of data collection to make design decisions for later phases. Beginning in the 2018 Summer Institute, we will offer a series of eleven one-day short courses in RSD techniques.
*Remote participation option: It is not necessary to be physically in Ann Arbor to participate in these workshops. Students who cannot be in Ann Arbor can enroll and join sessions via BlueJeans (https://www.bluejeans.com/). Once enrollment is confirmed via email, indicate if course attendance will be in person, in Ann Arbor or via BlueJeans. Survey Methodology for Randomized Controlled Trails does not have the remote participation option.
Topics covered: The effective treatment and management of a wide variety of health disorders often requires individualized, sequential decision making whereby treatment is adapted over time based on the changing disease state or specific circumstances of the patient. Adaptive interventions (also known as dynamic treatment regimens) operationalize this type of individualized treatment decision making using a sequence of decision rules that specify whether, how, for whom, or when to alter the intensity, type, or delivery of pharmacological, behavioral, and/or psychosocial treatments. There has been a huge surge of scientific interest in constructing adaptive interventions via the sequential multiple assignment randomized trial (SMART) design. SMART is a type of multi-stage randomized trial design, developed specifically for the purpose of collecting high-quality data for building optimal adaptive interventions. SMARTs are still new to the great majority of behavioral and social science investigators. In this course, we will introduce adaptive interventions, SMART (including simple design principle, cutting-edge analytic methods (e.g., Q-Learning) for SMART data, and discuss how these ideas can guide responsive and adaptive survey designs.
Cost
- $300