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University of Veterinary Medicine Vienna
  • Experiment design
    Solid experiment design is essential for the following data analyses. Contact us as early as possible in case you need assistance.
  • Data validation
    It is recommended to check the data for any mistakes prior to analyses. This eliminates tedious re-evaluations.
  • Method choice
    Modern software packages provide a variety of evaluation methods. We discuss modeling options and the following choice of methods.
  • Interpretation of results
    Results of complex statistical analyses require some degree of experience for the interpretation. The chosen model should thus be validated and potential problems should be recognised by multiple testing.
  • Supervision during review processes
    It is not unusual that objections of statistical nature appear during the review process. We also offer support during this critical phase.
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