Jekyll2026-09-21T08:56:46+00:00https://digitalbiostatistics.github.io/feed.xmldigitalbiostatisticsVariable Selection for Fixed and Random Effects in Multilevel Functional Mixed-Effects Models2026-07-30T00:00:00+00:002026-09-21T08:56:01+00:00https://digitalbiostatistics.github.io/2026/07/30/VariableSelectionOur paper, “Variable Selection for Fixed and Random Effects in Multilevel Functional Mixed-Effects Models,” has been accepted in Statistics in Medicine. This work introduces the first variable-selection method for multilevel functional models. Congratulations to Rahul Ghosal, Enakshi Saha, and the whole team.

Cover of Statistics in Medicine First page of Variable Selection for Fixed and Random Effects in Multilevel Functional Mixed-Effects Models
]]>2026 Diabetes Technology Meeting2026-07-19T00:00:00+00:002026-09-21T08:56:01+00:00https://digitalbiostatistics.github.io/2026/07/19/DTM2026Marcos Matabuena will be an invited speaker at the 2026 Diabetes Technology Meeting, taking place in Washington, D.C., from October 27–29. At one of the world’s leading international conferences on diabetes technology, he will present innovative statistical and digital health methods developed by our research group using glucose data, and discuss their potential applications in diabetes research and clinical practice.

Workshop B3: CGM Data Analysis schedule, including Marcos Matabuena's talk

For more information about the DTM2026, click here .

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