Yale University · Mathematics & StatisticsCardiovascular Innovation Lab
Donna L Spiegelman · New Haven, Connecticut
Research Focus
Dr. Donna L Spiegelman's lab at Yale University focuses on improving cardiovascular disease prevention through innovative research methodologies. Their main project, Learn-As-you-GO (LAGO), aims to create adaptable trial designs for complex interventions in cardiology, which allows for optimizations during the study to enhance effectiveness and reduce costs. This research is particularly relevant for managing interventions that involve multiple components and for tailoring approaches to meet diverse patient needs effectively.
adaptive trial designcardiovascular diseasemulti-component interventionsstatistical methodshealthcare optimization
Research Aims
5AIM 01Develop adaptive study designs for cardiovascular trials.
AIM 02Optimize intervention strategies during ongoing studies.
AIM 03Create user-friendly software tools for practitioners.
AIM 04Conduct statistical comparisons between adaptive and non-adaptive designs.
AIM 05Explore cost-effectiveness of healthcare interventions.
Skills the Lab Values
statistical analysislogistic regressionclinical trial designdata managementsoftware development
Output against the department
Publications846top 5% of dept.6th of 131
this lab
most publishedleast published
Citations81ktop 2% of dept.3rd of 131
this lab
most citedleast cited
Career totals from OpenAlex, compared against labs that share a department. A department spans everything from one paper to tens of thousands, so bar heights are on a log scale — otherwise the largest lab would flatten every other bar to a line.