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Using Wearables and Apps to Characterize Your Own Recurring Average Treatment Effects

Date: Nov 9 | 5:00 PM - 6:00 PM

Join the colloquium 鈥淯sing Wearables and Apps to Characterize Your Own Recurring Average Treatment Effects鈥 on November 9, Thursday, 5鈥6 p.m., at the UP Diliman School of Statistics (STAT) Lecture Hall.

The resource speaker is Eric J. Daza, DrPH, a lead biostatistician (data science) at Evidation Health, California, USA and the founder and chief editor of 鈥淪tats-of-1.鈥

Register at.

This is part of STAT鈥檚 colloquium on the statistical sciences.