rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Sequential Experimentation in Clinical Trials
    sub title: Design and Analysis
  name:
    name part: Bartroff, Jay.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Lai, Tze Leung.
    role:
      role term: author.
  name:
    name part: Shih, Mei-Chiung.
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: xxu
    date issued: 2013
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XVI, 240 p. online resource.
  abstract: This book presents an integrated methodology for sequential experimentation in clinical trials. The methodology allows sequential learning during the course of a trial to improve the efficiency of the trial design, which often lacks adequate information at the planning stage. Adaptation via sequential learning of unknown parameters is a central idea not only in adaptive designs of confirmatory clinical trials but also in the theory of optimal nonlinear experimental design, which the book covers as introductory material. Other introductory topics for which the book provides preparatory background include sequential testing theory, dynamic programming and stochastic optimization, survival analysis and resampling methods. In this way, the book gives a self-contained and thorough treatment of group sequential and adaptive designs, time-sequential trials with failure-time endpoints, and statistical inference at the conclusion of these trials. The book can be used for graduate courses in sequential analysis, clinical trials, and biostatistics, and also for short courses on clinical trials at professional meetings. Each chapter ends with supplements for the reader to explore related concepts and methods, and problems which can be used for exercises in graduate courses. Jay Bartroff is Associate Professor of Mathematics at the University of Southern California where he is a member of the Laboratory of Applied Pharmacokinetics at the USC Keck School of Medicine. He is a leading expert on group sequential and multistage adaptive statistical procedures and their applications to clinical trial designs, and he is a sought-after consultant in academia and industry. Tze Leung Lai is Professor of Statistics, and by courtesy, of Health Research and Policy and of the Institute of Computational and Mathematical Engineering at Stanford University, where he is the Director of the Financial and Risk Modeling Institute and Co-director of the Biostatistics Core at the Stanford Cancer Insti…
  table of contents: Introduction -- Nonlinear Regression, Experimental Design, and Phase I Clinical Trials -- Sequential Testing Theory and Stochastic Optimization over Time -- Group Sequential Design of Phase II and III Trials -- Sequential Methods for Vaccine Safety Evaluation and Surveillance in Public Health -- Time-Sequential Design of Clinical Trials with Failure-Time Endpoints -- Confidence Intervals and p-Values -- Adaptive Design of Confirmatory Trials -- References.
  note: by Jay Bartroff, Tze Leung Lai, Mei-Chiung Shih.
  subject:
    topic: Statistics
  subject:
    topic: Statistics
  subject:
    topic: Statistics for Life Sciences, Medicine, Health Sciences
  subject:
    topic: Statistics, general
  subject:
    topic: Statistical Theory and Methods
  classification: QA276-280
  classification: 519.5
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Springer Series in Statistics, 298
  identifier: 9781461461142
  identifier: http://dx.doi.org/10.1007/978-1-4614-6114-2
  record info:
    record creation date: 121211
    record change date: 20151125192104.0
    record identifier: 978-1-4614-6114-2