Howie and Harlan are joined by Yale School of Public Health biostatistician Bhramar Mukherjee to discuss how statisticians help researchers turn observations into evidence. Harlan examines a new study linking updated COVID vaccination to lower cardiovascular risk and explains why a headline-grabbing result may not settle the question; Howie discusses new Medicaid work requirements and the danger that administrative hurdles could cost vulnerable patients their coverage.

Show notes:

The COVID-19 Vaccine and Cardiovascular Health

"2024-2025 COVID-19 Vaccine and Major Adverse Cardiovascular Events Among US Veterans"

"Target Trial Emulation—A Unifying Approach for Causal Inference From Observational Data | Research, Methods, Statistics"

"Risk Reduction: Absolute vs. Relative Explained"

Bhramar Mukherjee

"Ten Core Concepts for Ensuring Data Equity in Public Health"

Bhramar Mukherjee: "Privacy-enhancing sequential learning under heterogeneous selection bias in multi-site electronic health records data"

Michigan Genomics Initiative

NIH: All of Us Research Program

Megan Ranney, Dean of the Yale School of Public Health

Big Data Summer Immersion at Yale

"The big data paradox and significance"

'What Is Variance in Statistics? Definition, Formula, and Example"

Medicaid work requirements

Center for Health Care Strategies: Summary of Federal Medicaid Work Requirements

"CMS Requires More Restrictive Definition of Medical Frailty in New Medicaid Work

Requirements Rule"

Cleveland Clinic: Frailty

"Coverage losses, substantial confusion in Arkansas following implementation of Medicaid work requirements"

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