Model-based analyses of bioequivalence crossover trials using the stochastic approximation expectation maximisation algorithm.

Detalles Bibliográficos
Publicado en:Statistics in Medicine Vol. 30; no. 21; pp. 2582 - 2601
Autores principales: Dubois A, Lavielle M, Gsteiger S, Pigeolet E, Mentré F
Formato: research Journal Article
Publicado: Wiley-Blackwell Sep2011
Acceso en línea:Ver este registro en EBSCOhost
fields @attributes:
  recordID: 1
pdfLink:
plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=104577972&site=ehost-live
header:
  @attributes:
    shortDbName: ccm
    uiTerm: 104577972
    longDbName: CINAHL Complete
    uiTag: AN
  controlInfo:
    bkinfo:
    dissinfo:
    jinfo:
      jid:
        02776715
        2DZ
      jtl: Statistics in Medicine
      issn: 02776715
      maglogo: Y
    pubinfo:
      dt: Sep2011
      vid: 30
      iid: 21
      pid: 480
      pub: Wiley-Blackwell
      place: Malden, Massachusetts
    artinfo:
      ui:
        104577972
        2011249002
        10.1002/sim.4286
        NLM21793036
        104577972
      ppf: 2582
      ppct: 19
      formats:
      tig:
        atl: Model-based analyses of bioequivalence crossover trials using the stochastic approximation expectation maximisation algorithm.
      aug:
        au:
          Dubois A
          Lavielle M
          Gsteiger S
          Pigeolet E
          Mentré F
        affil: INSERM UMR738, University Diderot Paris 7, Paris, France. anne.dubois@inserm.fr.
      sug:
        subj:
          Clinical Trials
          Crossover Design
          Pharmacokinetics
          Algorithms
          Bias (Research)
          Computer Simulation Statistics and Numerical Data
          Human Growth Hormone Pharmacokinetics
          Models, Biological
          Models, Statistical
          Chaos Theory
      pubtype: Academic Journal
      doctype:
        research
        Journal Article
      ougenre: Article
      ab:
    language: English
    refInfo:
    holdings:
      @attributes:
        islocal: N