Cancer Institute A national cancer institute
designated cancer center

Philip W. Lavori

Publication Details

  • Analysis of randomized controlled trials EPIDEMIOLOGIC REVIEWS Peduzzi, P., Henderson, W., Hartigan, P., Lavori, P. 2002; 24 (1): 26-38

    Abstract:

    Although the sophistication and flexibility of the statistical technology available to the data analyst have increased, some durable, simple principles remain valid. Hypothesis-driven analyses, which were anticipated and specified in the protocol, must still be kept separate and privileged relative to the important, but risky data mining made possible by modern computers. Analyses that have a firm basis in the randomization are interpreted more easily than those that rely heavily on statistical models. Outcomes--such as quality of life, symptoms, and behaviors--that require the cooperation of subjects to be measured will come to be more and more important as trials move away from mortality as the main outcome. Inevitably, such trials will have to deal with more missing data, especially because of dropout and noncompliance. There are fundamental limits on the ability of statistical methods to compensate for such problems, so they must be considered when studies are designed. Finally, it must be emphasized that the availability of software is not a substitute for experience and statistical expertise.

    View details for Web of Science ID 000176581000004

    View details for PubMedID 12119853

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