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Borrowing Strength

The birth of pharmacometrics.

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Arena Magazine presents an article by Alex Kesin exploring the origins of pharmacometrics, a field that emerged from a chance encounter between economist Barr Rosenberg and physician Lewis Sheiner. The story delves into how computers, prediction models, and pharmacology gave rise to drug modeling. It highlights the intersection of technology and medicine in shaping the field of pharmacometrics.

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Telling the Great American Story, in Print!

Borrowing Strength

In today's newsletter from Arena Magazine, Alex Kesin explores the story of how computers, prediction models, and pharmacology gave rise to the drug modeling that decides how new drugs drugs are dosed. This article was first published in Issue 009: Hello, World, our ode to software.

In October, 2003, the scientist Lewis Sheiner sent an e-mail to Nick Holford, a former student, recalling how their field of pharmacometrics had begun. Within a few months, Sheiner was dead. The following year, Holford quoted a brief passage of the correspondence in a memorial tribute. When I reached out to him this summer for the rest of the exchange, he searched his archives and wrote back: “I cannot find the original email from Lewis that I cited.” That left only the brief scene he had already committed to print.

And it goes like this. A seminar room at the University of California, San Francisco, sometime around 1970. A young physician is up front, presenting his work on drug dosing, when an even younger economist starts interrupting from the audience — takes his math apart piece by piece, then rebuilds the field on the spot.

I spent several weeks this summer tracking the people and the institutions that grew out of that afternoon, guided by oral histories of retired clinical pharmacologists, veterans of the FDA, and a programmer who spent her career building the software that resulted from that chance encounter. The economist in the room was Barr Rosenberg. The doctor was Lewis “Lou” Sheiner. From their collision emerged pharmacometrics: the statistical scaffolding for how drugs move through populations, how doses of medicine are chosen, and how medicine attempts to learn from the sparse data of human bodies.

Barr Rosenberg was a forecaster of financial risk, and he was quite good at it. Born in Berkeley in 1942, he enrolled at the University of California at sixteen, secured a master’s degree from the London School of Economics by twenty-two, and completed a Harvard doctorate in economics at twenty-five. His dissertation carried a title only a statistician could truly appreciate: Regression with Stochastically Varying Parameters. The topic was a happy accident. He had originally intended to analyze capital markets using a pristine new stock-price database in Chicago, but when the data delivery stalled, he abandoned capital markets for pure theory, focusing entirely on how to model systems with underlying variables that continuously shifted over time.

That theoretical detour proved immensely valuable. The late 1960s and 1970s marked the dawn of quantitative finance, an era when it suddenly felt possible to quantify the invisible risks lurking inside a stock portfolio. In 1974, Rosenberg launched a consulting firm, BARRA. The reigning method scored a stock’s risk with a single number: how much it moved with the market. Rosenberg’s models pulled that risk apart across many features of the company itself. Suddenly, an oil company’s risk could ride on the price of crude and a bank’s on interest rates, a homebuilder’s to mortgage rates. The shift from one factor to many became, and remains, the working grammar of quantitative finance. It made BARRA’s tools standard equipment for institutional investors.

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Borrowing Strength
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