Abstract
Prompted by data from our own experiments on therapy of AIDS, we have taken a fresh look at the problem of analyzing potentiation, synergy, antagonism, enhancement of therapeutic index, and other types of drug interactions (1–3). Initial stages of that inquiry revealed the need for new concepts and new analytical methods that include:
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1.
Flexible choice of interaction models (clearly, no single type of model can fit all types of interactions).
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2.
Appropriately robust statistical methods to estimate p-values and confidence intervals (a sound statistical basis is critical in this field, if one is to be confident that there actually is an interaction).
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3.
Flexibility with respect to experimental design (e.g., checkerboard, constant-ratio, etc.).
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4.
Statistical techniques for reducing the size of experiments by reducing the number of replicates needed.
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Weinstein, J.N., Bunow, B. (1992). COMBO: New Concepts and Methods for Designing and Analyzing Experiments on Combination Therapy. In: Goldstein, A.L., Garaci, E. (eds) Combination Therapies. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-3340-5_4
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DOI: https://doi.org/10.1007/978-1-4615-3340-5_4
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