About Deerfield

Launched in 1994, Deerfield Management Company is an investment firm dedicated to advancing healthcare through information, investment, and philanthropy—all toward the end goal of cures for disease, improved quality of life, and reduced cost of care.

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Supporting companies across the healthcare ecosystem with flexible funding models…

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Delivering market research to the Deerfield team, its portfolio companies and other partners.

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A New York City-based not-for-profit devoted to advancing innovative health care initiatives.

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Portfolio Companies

Deerfield generally maintains a combined portfolio of more than 150 private and public investments across the life science, medical device, diagnostic, digital health and health service industries at all stages of evolution from start-up to mature company.

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Research Collaborations

Deerfield partners with leading academic research centers, providing critical funding and expertise to further sustain and accelerate the commercialization of discoveries toward meaningful societal impact by advancing cures for disease.

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Strategic Partners

As a strategic partner, Deerfield offers capital, scientific expertise, business operating support, and unique access to innovation.

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Deerfield Foundation

The Deerfield Foundation is a New York City-based not-for-profit organization whose mission is to improve health, accelerate innovation and promote human equity.

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Cure Campus

Cure is a 12-story innovations campus in New York City that intends to bring together innovators from academia, government, industry, and the not-for-profit sectors to advance human health and accelerate the fight against disease.

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Cure Programming

Cure has a series of expert lectures intended to advance thought in healthcare, management, innovation, policy, and other relevant subjects. This fosters growth and education for those at Cure and its guests.

Events at the Cure

The pursuit of balance: an overview of covariate-adaptive randomization techniques in clinical trials

Randomization is fundamental to thedesign and conduct of clinical trials. Simple randomization ensuresindependence among subject treatment assignments and prevents potentialselection biases, yet it does not guarantee balance in covariate distributionsacross treatment groups. Ensuring balance in important prognostic covariatesacross treatment groups is desirable for many reasons. A broad class ofrandomization methods for achieving balance are reviewed in this paper; theseinclude block randomization, stratified randomization, minimization, anddynamic hierarchical randomization. Practical considerations arising fromexperience with using the techniques are described. A review of randomizationmethods used in practice in recent randomized clinical trials is also provided.

Keywords: Clinical trials; Randomization; Block randomization; Stratified randomization;Minimization; Dynamic hierarchical randomization