Important note: Information in this article was accurate in 1992. The state of the art may have changed since the publication date.
OPTIMIZING THE DESIGN AND ANALYSIS OF EXPERIMENTS ON COMBINATION THERAPY (MEETING ABSTRACT)
Proc Annu Meet Am Assoc Cancer Res; 33:A2642 1992. Unique Identifier : AIDSLINE ICDB/92685171 Weinstein JN; Bunow B; Muenz LR; NCI, Bethesda, MD 20892
Abstract:
We recently described new concepts and a computer program 'toolbox' called COMBO for analyzing data on combination therapy of cancer and AIDS. The COMBO approach includes (1) flexible choice of interaction models (including ones that take into account both efficacy and toxicity), (2) parametric and nonparametric statistical methods for hypothesis testing and estimation of confidence intervals, and (3) flexibility with respect to experimental design. We have used COMBO to analyze data on combinations that include doxorubicin, suramin, tumor necrosis factor, dipyridamole, AZT, ddI, ddC, CD4-pseudomonas exotoxin and HIV protease inhibitors, inter alia (Ann NY Acad Sci 616:367-84, 490-4, 1991; PNAS 87:8889-93, 1990). We have now focused on another practical aspect of the problem: given the large number of combinations that should, in principle, be tested, how can one reduce the number of data points required per combination? This has become a problem even for our experiments in vitro, let alone for testing in animals and in the clinic. Accordingly, the COMBO toolbox includes statistical methods that aid the investigator in designing more resource-efficient experiments.
Keywords: Acquired Immunodeficiency Syndrome/*DRUG THERAPY Antineoplastic Agents, Combined/*THERAPEUTIC USE Antiviral Agents/*THERAPEUTIC USE Computer Simulation *Drug Therapy, Combination Human Neoplasms/*DRUG THERAPY *Software ABSTRACT
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