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Methodological Genius Propels Statistical Breakthroughs in Clinical Research [Video]

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AI Behavioral Targeting

Clinical research is a delicate industry that only a few skilled specialists can handle head-on. Dr. Chen Yang, a prominent figure in biostatistics at the Icahn School of Medicine at Mount Sinai, spearheads innovative statistical analysis methods. With a PhD in statistics and extensive experience in Actuarial Science, Dr. Yang’s work is making significant strides in reshaping clinical research.

Methodological Innovation: Expanding Applications

The new tool enables researchers to investigate treatment effect disparities within the framework of stepped-wedge cluster randomized trials (SW-CRTs) and facilitates dynamic monitoring of trial progress across multiple periods, enhancing precision in clinical trial outcomes, particularly in studies focusing on health disparities.

A stepped-wedge cluster randomized trial (SW-CRT) is a unique research structure that assesses service delivery interventions. Within this design, clusters usually hospitals or particular communities are initially given no intervention during the baseline period and randomized to receive the intervention at subsequent periods.

Specifically, Dr. Yang’s paper proposes three …

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