Enrolment options

    EFOMP in collaboration with the Czech Association of Medical Physics (CAMP) would like to invite you to the next ESMPE on 8th-10th February 2024.

    The school will be aimed at advanced tasks connected with the use of uncertainty analyses and statistical methods in data handling and interpretation. The school will cover the methods of inferential statistics most frequently used in the medical field in the first day, and the treatment of errors an uncertainties in medical imaging, radiation dosimetry, radiomics and epidemiology in the following days. The focus will be on worked examples.

    This two-and-half day event will be accredited by EBAMP (European Board of Accreditation for Medical Physics) and is intended for practicing clinical Medical Physicists who are involved in data management and research. There will be an optional examination at the end for those seeking a higher level of certification beyond attendance.

    ESMPE have decided this event will be in a hybrid format. All lecturers will give their talks on-site in Prague but participants can choose if they want to attend the school on-site (limited number of participants) or online, it will be live-streamed.

    Content

    • Sample Size determination. Sample size determination for different study designs
    • Evaluation of a diagnostic test – Sensitivity, specificity, diagnostic accuracy, ROC methods
    • Applied regression analysis. Analysis of variance, Analysis of Covariance, multiple
    • regression, logistic regression
    • Survival analysis – Relative risks Odds ratio. Survival curves with Kaplan Meyer; Log-rank
    • test; Cox models
    • Reproducibility and repeatability in radiomics.
    • Errors an uncertainties in radiation dosimetry – Theory of error and uncertainty analysis:
    • Type A and B uncertainty, assessment of the quality of a measurement or calculation.
    • Agreement in Radiotherapy – How to assess agreement in Dose distributions and Volume

    Organisers

    Brendan McClean (Chair of the School)

    Marco Brambilla (Scientific Chair)

    IAM Self Enrolment
    IAM Self Enrolment