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IDEAS improving drug development
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  • 1. Dose finding for combination trials with many treatments
  • 2. Pooling information on progression-free and overall survival in multi-arm cancer trials
  • 3. Using pre-clinical information to establish a safe dose in first-in-men studies
  • 4. Development of a biomarker score to identify a subgroup of treatment responders
  • 5. The impact of data and safety monitoring board decisions to drop treatments
  • 6. Optimal designs and analysis methods for the development of Biosimilars
  • 7. Subgroup Analyses in Early Phase Clinical Trials
  • 8. Innovative designs for combination of existing therapies
  • 9. Modelling and simulation for the early development of a modified administration route
  • 10. Bias and precision in early phase adaptive studies and its consequences for the decisions about conducting and designing confirmatory studies
  • 11. Interval estimation for dose-finding studies
  • 12. Statistical methods for phase I/II trials of molecularly targeted agents in oncology
  • 13. Statistical aspects of animal to human translation
  • 14. Detecting pharmacodynamic drug-drug interactions
Latest articles
  • The role of a statistician in drug development: Phase III
  • The role of a statistician in drug development: Pre-clinical studies
  • The role of a statistician in drug development: Introduction
  • Arthur-Linder Prize for IDEAS ESRs Nicolas!
  • PhD success for our researcher Marius Thomas
  • Viva success for our researcher Haiyan Zheng
  • Viva success for our researcher Saswati Saha
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Partners:
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LancasterUniversityCapturenovartis  Politecnico di Torino  Inserm  bayer  bremenjanssen 

EU Funding
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 633567.
©2015 Lancaster University
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