 | Draft article not currently submitted for review.
This is a draft Articles for creation (AfC) submission. It is not currently pending review. While there are no deadlines, abandoned drafts may be deleted after six months. To edit the draft click on the "Edit" tab at the top of the window. To be accepted, a draft should:
It is strongly discouraged to write about yourself, your business or employer. If you do so, you must declare it. Where to get help
How to improve a draft
You can also browse Wikipedia:Featured articles and Wikipedia:Good articles to find examples of Wikipedia's best writing on topics similar to your proposed article. Improving your odds of a speedy review To improve your odds of a faster review, tag your draft with relevant WikiProject tags using the button below. This will let reviewers know a new draft has been submitted in their area of interest. For instance, if you wrote about a female astronomer, you would want to add the Biography, Astronomy, and Women scientists tags. Editor resources
Last edited by Citation bot (talk | contribs) 5 days ago. (Update) |
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]
Education and Career
editDaniel Almirall is Research Associate Professor in the Survey Research Center at the University of Michigan Institute for Social Research.[2] In 2019, he co-founded the Data Science for Dynamic Intervention Decision-making Laboratory (d3lab) within the Quantitative Methodology Program at the Institute for Social Research. In 2021, he became the Co-Director of the Data Science for Dynamic Intervention Decision-making Center (d3center).
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.[2] His work encompasses new approaches to data collection and analysis, collaborating with psychiatrists, psychologists, and data scientists to apply these methods.[2] His research is particularly oriented toward mental health and substance abuse.[2]
His primary methodological interest lies in the development of statistical methods for adaptive interventions, also known as dynamic treatment regimes.[2] These interventions use tailored decision rules to manage chronic illnesses or disorders, adjusting the intensity, type, or delivery of treatment at critical decision points.[2] Almirall addresses methodological challenges in designing sequential multiple-assignment randomized trials (SMARTs) and other trial designs to optimize or evaluate adaptive interventions.[2]
Almirall's substantive interests include various areas with a focus on mental health (autism, depression, anxiety) and substance abuse, particularly in children and adolescents.[2]
For a comprehensive list of his publications, refer to Daniel Almirall's Google Scholar Profile.