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Clinical Trial Statistics for Non Statisticians
Develop the statistical knowledge required to better understand today’s cancer clinical trials!
Today, statistics are foundational to understand clinical trials. This EORTC course provides an introduction to the statistical methods used for the design, conduct and analysis of cancer clinical trials. It will insist on the philosophy and provide a deep understanding of the statistical principles whilst avoiding too technical formulations. With this course, the attendees will be better equipped to design their own clinical research, work in a multidisciplinary team involving statisticians and to critically appraise the scientific value of published research.
This course is aimed at non-statisticians who work in clinical research or at statisticians with little or no experience in clinical trials. For those attendees, who do not have any basic training in general statistics, an optional half day introduction course to statistics and probability (incl. notions of experiment, random variable, distributions, estimations, hypothesis testing) is organized before the official start of the course.
More information on the course website
21st WORKSHOP ON METHODS IN CLINICAL CANCER RESEARCH (MCCR)
More information is available on the workshop website
CDDF multi-Stakeholder Workshop on Involving Patients in Oncology Drug Development
The CDDF Multi-stakeholder workshop on Involving Patients in Oncology Drug Development organized by the Cancer Drug Development Forum takes place in Amsterdam on 18 & 19 June 2019. The workshop will focus on the opportunities and challenges of incorporating the patient-relevant evidence into oncology drug development and approval process from the perspective of patients, health care providers, health authorities, HTA bodies, payers and industry and will address the following topics:
- Examine the different type of patient-relevant evidence for patient-focused drug development
- Exemplary models for interactions between patients’ communities, sponsors and decision-makers
- Examples of qualitative and quantitative patient-experience data and its contribution to development, review, approval and access to new drugs
More information on the workshop website.