An Evaluation of Methods for Handling Missing Data in Randomized Controlled Trials with Omitted Moderation Effects

Project Title: An Evaluation of Methods for Handling Missing Data in Randomized Controlled Trials with Omitted Moderation Effects
Program:
CAREERS (323)

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Tags:
spss (240)

Status: Complete
Project Leader
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Project Leader:
Manshu Yang

Email: myang@uri.edu
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Project Personnel
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Mentor(s):
Katia Bulekova (77)

Student-facilitator(s):
Elizabeth Pauley (20192)

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Project Information
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Project Description:
The overall scientific goal of this project is to evaluate methods for handling missing data in the presence of omitted moderation effects. It is an extension of a research program that evaluates multiple imputation via chained equations, multiple imputation via joint modeling and inverse probability weighting to handle missing data in randomized controlled trials with omitted moderation effects, via a simulation study. 

This CAREERS project will allow for the inclusion of additional methods, and evaluate a large number of covariates (e.g., 10+). The student will dedicate time to utilize HPC (i.e., Unity) for this computational workflow i.e. to run a job, edit job code, troubleshoot coding issues, and expand her knowledge of Monte Carlo simulation studies by increasing the number of simulation conditions being examined and implementing different statistical software on Unity.


Project Information Subsection
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Project Institution: University of Rhode Island
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Anchor Institution: CR-University of Rhode Island
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Start as soon as possible.: No
Project Urgency: Already behind3Start date is flexible
Expected Project Duration (in months): 6
Launch Presentation: https://support.access-ci.org/system/files/webform/project/4022/CAREERS_ProjectLaunch_Pauley%20%281%29.pptx
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Wrap Presentation: https://support.access-ci.org/system/files/webform/project/4022/Careers.project.wrap_.pptx
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Project Milestones:
- Milestone Title: Milestone#1
  Milestone Description: Conduct literature review on newly added methods, launch presentation. 
  Completion Date Goal: 2023-10-31
- Milestone Title: Milestone#2
  Milestone Description: Obtain feedback on the proposed analysis, get HPC access. 
  Completion Date Goal: 2023-11-30
- Milestone Title: Milestone#3
  Milestone Description: Write code for generating data & running analyses.
  
  Completion Date Goal: 2023-12-31
- Milestone Title: Milestone#4
  Milestone Description:  Debug code and run on HPC.
  Completion Date Goal: 2024-01-31
- Milestone Title: Milestone#5
  Milestone Description: Write code for pooling results & generating output figures, debug code.
  Completion Date Goal: 2024-02-28
- Milestone Title: Milestone#6
  Milestone Description: Write-up manuscript and submit for publication, wrap presentation, exit interview.
  
  Completion Date Goal: 2024-03-31

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Final Report
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