Stochastic Models in Clinical Trials

  • Stephen W. Lagakos
Part of the Lecture Notes in Medical Informatics book series (LNMED, volume 4)

Abstract

In most analyses of clinical trials, the therapies being investigated are assessed on the basis of several time-dependent events. For example, in cancer clinical trials events such as drug toxicity, disease relapse, tumor remission, and death are common measures of therapeutic effect. These events are time-dependent in the sense that each can occur at various points in time after initiation of treatment. For those such as death which are certain to eventually occur, the interest is in the time until the event. For events such as tumor remission, which may or may not occur, both frequency and time until the event are of interest. Furthermore, knowledge of the relationships between events is often valuable. For example: How is remission related to survival? Does an elevated tumor marker signal impending failure? Is metastatic disease associated with early death?

Keywords

Sojourn Time Small Cell Carcinoma Lymphnode Stage Tumor Remission Sojourn Time Distribution 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1979

Authors and Affiliations

  • Stephen W. Lagakos
    • 1
    • 2
  1. 1.Department of BiostatisticsHarvard School of Public HealthUSA
  2. 2.Sidney Farber Cancer InstituteBostonUSA

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