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A proposal for a new PhD level curriculum on quantitative methods for drug development.
T Jaki1, A Gordon1, P Forster1
1Lancaster University, Department of Mathematics and Statistics, Lancaster, UK.
Pharmaceutical Statistics
|July 10, 2018
Summary
The IDEAS network trains medical statisticians for drug development through European collaborations. This initiative proposes a harmonized PhD program to enhance quantitative skills in pharmaceutical research.
Area of Science:
- Medical Statistics
- Pharmaceutical Sciences
- Higher Education
Background:
- The IDEAS network unites European academic and industry partners to train graduate-level medical statisticians.
- The network supports 14 early-stage researchers with a blend of methodological and transferable skills over 36 months.
- Emphasis is placed on fostering academic-industry collaborations for drug development training.
Purpose of the Study:
- To provide an overview of the IDEAS network and its training initiatives.
- To review existing medical statistics programs (MSc and PhD) relevant to drug development.
- To propose a concept for a harmonized European PhD program in quantitative methods for drug development.
Main Methods:
- Overview of the IDEAS network structure and its public-private partnerships.
- Review and analysis of current MSc and PhD programs in medical statistics.
- Conceptualization of a joint European PhD program based on IDEAS experiences.
Main Results:
- The IDEAS network offers comprehensive training in specialist and transferable skills for drug development.
- Existing medical statistics programs vary in their focus on drug development-specific skills.
- A need for a harmonized European PhD program in quantitative methods for drug development is identified.
Conclusions:
- The IDEAS project effectively trains early-stage researchers in medical statistics for the pharmaceutical industry.
- A harmonized European PhD program could standardize and advance training in quantitative drug development methods.
- Enhanced collaboration between academia and industry is crucial for effective drug development training.
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