Samuel J. Clark
Sam

I develop statistical methods and software to measure mortality and its causes in populations where routine health data are scarce and apply them to understand how epidemics, aging, and disease reshape communities over time. My work spans verbal autopsy methodology (InSilicoVA, openVA), model life tables (SVD-Comp), and small-area estimation of child mortality, with tools adopted by the WHO, the UN Population Division, and national health systems across Africa and Asia.

I work as a professor in the Department of Sociology at The Ohio State University (OSU), and I am a faculty affiliate of the Institute for Population Research and the Translational Data Analytics Institute, both at OSU. I am affiliated with the Department of Statistics at the University of Washington and the School of Public Health at the University of the Witwatersrand.

I work to improve: 1) verbal autopsy as a tool to measure the burden of disease, 2) mathematical models of human mortality, 3) indirect estimates of child mortality, and 4) small-area estimates of mortality. I also coordinate a small team developing open-source software to implement new methods - mostly for verbal autopsy and mathematical models of human mortality.

I lead the openVA Team that works to improve verbal autopsy. I have been a member of the WHO Verbal Autopsy Reference Group (VARG) since it was formed in 2013. Over the past several years I have been an active member of the VARG Task Group coordinating a comprehensive update of the WHO Standard Verbal Autopsy Instrument. The openVA Team develops and maintains tools that support the WHO standard.

I am also a member of the WHO Technical Advisory Group (TAG) on Health Statistics that is developing a global strategy on strengthening national mortality data systems to improve the availability, quality, and use of mortality data for public health action.

Updates

2026-03

In my dissertation, I built a simple set of model life tables based on mortality data from the INDEPTH Network sites. The latest iteration of this idea is demonstrated in a shiny app using life tables from the human mortality database (HMD) - give it a spin.

2025-12

With a team including Doris Ma Fat, Philippe Boucher, and George Vasilache at the Data, Digital Health, Analytics and AI Department (DDA) of the WHO; Kobus Herbst and Brendan Gilbert at AHRI; and Norman Goco and David Plotner at RTI; the openVA Team has just completed creation of the Reference Data Archive at WHO: https://data.who.int/rda.