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@ARTICLE{HollandLetz:166369,
      author       = {T. Holland-Letz$^*$ and A. Kopp-Schneider$^*$},
      title        = {{A}n {R}-shiny application to calculate optimal designs for
                      single substance and interaction trials in dose response
                      experiments.},
      journal      = {Toxicology letters},
      volume       = {337},
      issn         = {0378-4274},
      address      = {Amsterdam [u.a.]},
      publisher    = {Elsevier Science},
      reportid     = {DKFZ-2020-02858},
      pages        = {18 - 27},
      year         = {2021},
      note         = {#EA:C060#LA:C060#},
      abstract     = {Optimal experimental design theory proposes choosing
                      specific settings in experimental trials in order to
                      maximize the precision of the resulting parameter estimates.
                      In dose response experiments, this corresponds to choosing
                      the optimal dose levels for every available observation, and
                      can be applied both to singular dose-response relationships
                      and to interaction experiments where two substances are
                      given simultaneously at several different mixture ratios
                      ('ray designs'). While the theory of experimental design for
                      this situation is well developed, the mathematical
                      complexity prevents widespread use in practical
                      applications. A simple to use application making the theory
                      accessible to practitioners is thus very desirable.Results
                      from established optimal experimental design theory are
                      applied to dose response applications, focusing on
                      log-logistic and Weibull class dose response functions.
                      Suitable optimal design algorithms to solve these problems
                      are implemented into an R-shiny based online application.The
                      application provides an interface to easily calculate
                      D-optimal designs not only for singular dose experiments,
                      but also for interaction trials with several combination
                      rays of substances. Furthermore, the app also allows
                      evaluating the efficiency of existing candidate designs, and
                      finally allows construction of designs which perform
                      robustly under different assumptions in regard to the true
                      parameters.},
      keywords     = {Combination index (Other) / D-optimal design (Other) /
                      Dose–response studies (Other) / Optimal experimental
                      design (Other) / R-shiny (Other) / Web application (Other)},
      cin          = {C060},
      ddc          = {610},
      cid          = {I:(DE-He78)C060-20160331},
      pnm          = {313 - Krebsrisikofaktoren und Prävention (POF4-313)},
      pid          = {G:(DE-HGF)POF4-313},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:33232777},
      doi          = {10.1016/j.toxlet.2020.11.018},
      url          = {https://inrepo02.dkfz.de/record/166369},
}