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- Q-learning (2)
- Adaptive (1)
- Adaptive Sampling Methods (1)
- Bayesian inference (1)
- Design-based inference (1)
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- Differential recruitment (1)
- First Destination Survey(FDS) (1)
- Intervention (1)
- Joint model (1)
- MDP (1)
- Markov Decision Process (1)
- Misclassification on nodal attribute (1)
- National prevalence estimation (1)
- Optimal (1)
- Policy Iteration (1)
- Randomization (1)
- Respondent-driven sampling (1)
- SMART (1)
- Time-varying SMART (1)
Articles 1 - 3 of 3
Full-Text Articles in Design of Experiments and Sample Surveys
Inference From Network Data In Hard-To-Reach Populations, Isabelle Beaudry
Inference From Network Data In Hard-To-Reach Populations, Isabelle Beaudry
Doctoral Dissertations
The objective of this thesis is to develop methods to make inference about the prevalence of an outcome of interest in hard-to-reach populations. The proposed methods address issues specific to the survey strategies employed to access those populations. One of the common sampling methodology used in this context is respondent-driven sampling (RDS). Under RDS, the network connecting members of the target population is used to uncover the hidden members. Specialized techniques are then used to make inference from the data collected in this fashion. Our first objective is to correct traditional RDS prevalence estimators and their associated uncertainty estimators for …
Further Advances For The Sequential Multiple Assignment Randomized Trial (Smart), Tianjiao Dai
Further Advances For The Sequential Multiple Assignment Randomized Trial (Smart), Tianjiao Dai
Dissertations & Theses (Open Access)
ABSTRACT
FURTHER ADVANCES FOR THE SEQUENTIAL MULTIPLE ASSIGNMENT RANDOMIZED TRIAL (SMART)
Tianjiao Dai, M.S.
Advisory Professor: Sanjay Shete, Ph.D.
Sequential multiple assignment randomized trial (SMART) designs have been developed these years for studying adaptive interventions. In my Ph.D. study, I mainly investigate how to further improve SMART designs and optimize the interventions for each individual in the trial. My dissertation has focused on two topics of SMART designs.
1) Developing a novel SMART design that can reduce the cost and side effects associated with the interventions and proposing the corresponding analytic methods. I have developed a time-varying SMART design in …
A Markov Decision Process Approach To Adaptive Contact Strategies, Artur Grygorian
A Markov Decision Process Approach To Adaptive Contact Strategies, Artur Grygorian
Electronic Theses and Dissertations
In the field of survey methodology, optimizing contact strategies helps organizations increase response rates using their allocated budget. Markov Decision Processes (MDP) are widely used to model decision-making strategies in situations where the outcomes have a random component. In this research, we use MDPs and adaptive sampling techniques to construct a strategy that, based on target audience characteristics, suggests the best contact policy. The data we use comes from the First Destination Survey conducted by the Office of Career Services at Georgia Southern University. The constructed model is quite flexible and can be used by other organizations to optimize their …