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@ARTICLE{Jiang:126072,
      author       = {X. Jiang$^*$ and A. Kopp-Schneider$^*$},
      title        = {{S}ummarizing {EC}50 estimates from multiple dose-response
                      experiments: a comparison of a meta-analysis strategy to a
                      mixed-effects model approach.},
      journal      = {Biometrical journal},
      volume       = {56},
      number       = {3},
      issn         = {0323-3847},
      address      = {Berlin},
      publisher    = {Wiley-VCH},
      reportid     = {DKFZ-2017-02187},
      pages        = {493 - 512},
      year         = {2014},
      abstract     = {Dose-response studies are performed to investigate the
                      potency of a compound. EC50 is the concentration of the
                      compound that gives half-maximal response. Dose-response
                      data are typically evaluated by using a log-logistic model
                      that includes EC50 as one of the model parameters. Often,
                      more than one experiment is carried out to determine the
                      EC50 value for a compound, requiring summarization of EC50
                      estimates from a series of experiments. In this context,
                      mixed-effects models are designed to estimate the average
                      behavior of EC50 values over all experiments by considering
                      the variabilities within and among experiments
                      simultaneously. However, fitting nonlinear mixed-effects
                      models is more complicated than in a linear situation, and
                      convergence problems are often encountered. An alternative
                      strategy is the application of a meta-analysis approach,
                      which combines EC50 estimates obtained from separate
                      log-logistic model fitting. These two proposed strategies to
                      summarize EC50 estimates from multiple experiments are
                      compared in a simulation study and real data example. We
                      conclude that the meta-analysis strategy is a simple and
                      robust method to summarize EC50 estimates from multiple
                      experiments, especially suited in the case of a small number
                      of experiments.},
      keywords     = {Sodium Dodecyl Sulfate (NLM Chemicals)},
      cin          = {C060},
      ddc          = {570},
      cid          = {I:(DE-He78)C060-20160331},
      pnm          = {313 - Cancer risk factors and prevention (POF3-313)},
      pid          = {G:(DE-HGF)POF3-313},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:24478144},
      doi          = {10.1002/bimj.201300123},
      url          = {https://inrepo02.dkfz.de/record/126072},
}