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@ARTICLE{Jiang:126790,
      author       = {X. Jiang$^*$ and A. Kopp-Schneider$^*$},
      title        = {{S}tatistical strategies for averaging {EC}50 from multiple
                      dose-response experiments.},
      journal      = {Archives of toxicology},
      volume       = {89},
      number       = {11},
      issn         = {1432-0738},
      address      = {Berlin},
      publisher    = {Springer},
      reportid     = {DKFZ-2017-02818},
      pages        = {2119 - 2127},
      year         = {2015},
      abstract     = {In most dose-response studies, repeated experiments are
                      conducted to determine the EC50 value for a chemical,
                      requiring averaging EC50 estimates from a series of
                      experiments. Two statistical strategies, the mixed-effect
                      modeling and the meta-analysis approach, can be applied to
                      estimate average behavior of EC50 values over all
                      experiments by considering the variabilities within and
                      among experiments. We investigated these two strategies in
                      two common cases of multiple dose-response experiments in
                      (a) complete and explicit dose-response relationships are
                      observed in all experiments and in (b) only in a subset of
                      experiments. In case (a), the meta-analysis strategy is a
                      simple and robust method to average EC50 estimates. In case
                      (b), all experimental data sets can be first screened using
                      the dose-response screening plot, which allows visualization
                      and comparison of multiple dose-response experimental
                      results. As long as more than three experiments provide
                      information about complete dose-response relationships, the
                      experiments that cover incomplete relationships can be
                      excluded from the meta-analysis strategy of averaging EC50
                      estimates. If there are only two experiments containing
                      complete dose-response information, the mixed-effects model
                      approach is suggested. We subsequently provided a web
                      application for non-statisticians to implement the proposed
                      meta-analysis strategy of averaging EC50 estimates from
                      multiple dose-response experiments.},
      keywords     = {Valproic Acid (NLM Chemicals)},
      cin          = {C060},
      ddc          = {610},
      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:25294322},
      doi          = {10.1007/s00204-014-1350-3},
      url          = {https://inrepo02.dkfz.de/record/126790},
}