Submission declined on 20 October 2024 by SafariScribe (talk).
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| Submission declined on 21 August 2024 by DoubleGrazing (talk). This submission is not adequately supported by reliable sources. Reliable sources are required so that information can be verified. If you need help with referencing, please see Referencing for beginners and Citing sources. This draft's references do not show that the subject qualifies for a Wikipedia article. In summary, the draft needs to Declined by DoubleGrazing 3 months ago.
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Comment: Doesn't meet notability for academics. Safari ScribeEdits! Talk! 11:11, 20 October 2024 (UTC)
Daniel Almirall is a statistician recognized for developing methods to create evidence-based adaptive interventions. These interventions guide individualized decisions for managing chronic illnesses or disorders such as drug abuse, depression, anxiety, autism, obesity, and HIV/AIDS.[1][2]
Education and Career
editDaniel Almirall is Research Associate Professor in the Survey Research Center at the University of Michigan Institute for Social Research.[3] In 2017, he co-founded the Data Science for Dynamic Intervention Decision-making Laboratory (d3lab) within the Quantitative Methodology Program at the Institute for Social Research.[4] Now called the Data Science for Dynamic Intervention Decision-making Center (d3center), Almirall acts as Co-Director of the center alongside Inbal Nahum-Shani.[3]
Almirall earned his Ph.D. in Statistics from the Department of Statistics at the University of Michigan in 2007.
Research and Contributions
editAlmirall's research as a statistician and methodologist focuses on developing tools to enhance health, education, and well-being.[3] His work encompasses new approaches to data collection and analysis, collaborating with psychiatrists, psychologists, and data scientists to apply these methods.[3][4] His research is particularly oriented toward mental health and substance abuse.[3]
His primary methodological interest lies in the development of statistical methods for adaptive interventions, also known as dynamic treatment regimes.[3][5] These interventions use tailored decision rules to manage chronic illnesses or disorders, adjusting the intensity, type, or delivery of treatment at critical decision points.[6] Almirall addresses methodological challenges in designing sequential multiple-assignment randomized trials (SMARTs) and other trial designs to optimize or evaluate adaptive interventions.[3][7]
Almirall's substantive interests include various areas with a focus on mental health (autism, depression, anxiety) and substance abuse, particularly in children and adolescents.[3][5]
For a comprehensive list of his publications, refer to Daniel Almirall's Google Scholar Profile.
References
edit- ^ Admin. "Daniel Almirall". d3center. Retrieved 29 July 2024.
- ^ "MAISYs: A flexible tool to meet the changing needs of implementation science | Institute for Public Health | Washington University in St. Louis". publichealth.wustl.edu. Retrieved 2024-10-04.
- ^ a b c d e f g h "Daniel Almirall, Ph.D., Survey Research Center, Institute for Social Research, University of Michigan". websites.umich.edu. Retrieved 2024-07-29.
- ^ a b "The Data Science for Dynamic Intervention Decision-Making Lab is set to solve real-world health challenges | Institute for Social Research". isr.umich.edu. Retrieved 2024-10-04.
- ^ a b Institute for Translational Research in Children's Mental Health (ITR) (2019-02-26). Daniel Almirall - Adaptive Interventions and Implementation Science. Retrieved 2024-10-04 – via YouTube.
- ^ "U-M lab awarded $13.2M grant to help thwart substance abuse disorders". University of Michigan News. 2021-09-28. Retrieved 2024-10-04.
- ^ "Daniel Almirall: Getting SMART about adaptive interventions". Center for Prevention Implementation Methodology for Drug Abuse and HIV. 2017-11-28. Retrieved 2024-10-04.
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