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Programme

Programme

Wednesday May 21st:

13.00-13.15:   Welcome

13.15-13.40:  "Interpretable evaluation of causal discovery algorithms" -Anne Helby Petersen, Department of Public Health, Section ofBiostatistics, Univ. of Copenhagen

13.50-14.15:  "Revisiting the sequence symmetry analysis design" - Jeppe Ekstrand Halkjær Madsen, LEO Pharma.

14.15-14.30:  Short Break

14.30-14.40: Vaccines and randomized trials: Some lessons on research practice, statistical power and p-values - Henrik Støvring , Steno Diabetes Center Aarhus

14.40-14.50:  Functional Load Topography: A Novel Tool for Mapping Functional Exposures to Clinical Risks - Christoffer Sejling, Institut for Folkesundhedsvidenskab, KU

14.50-15.00:  Bettering scientific reporting by replacing p values with simple, informative, objective and flexible Bayes factors - Klaus Rostgaard, Danish Cancer Institute

15.00-15.45:  Coffee break

15.45-16.10:  "Quantification in quantitative genetics: from Rasch to Copulas" - Stephanie van den Berg, Cognition, Data and Education, University of Twente, The Netherlands

16.20-16.45:  "A retake on the analysis of scores truncated by terminal events" - Christian Bresen Pipper, Novo Nordic and SDU (adj. Professorship).

16.45-17.00: Short Break

17.00-17.25:  "Is operator algebra viable in statistics? " - Steen Thorbjørnsen, Department of Mathematics, University of Aarhus.

17.35-18.00:  "Tattooing – a cancer risk factor? How to study and how to communicate findings" - Signe Bedsted Clemmensen, Department of Public Health, Unit of Epidemiology, Biostatistics and Biodemography, SDU

18.00-19.00:  Tour de SDU - Nyt Sund

19.00:   Dinner

 

Thursday May 22nd:

(Coffee and tea from 8.30)

9.00-9.25:  "Estimation of conditional tail expectation at extreme levels for time series data" - Yuri Goegebeur, Institute of Mathematics and Computer Science, SDU

9.35-10.00:  "Gaussian process regression for value-censored functional and longitudinal data" - Andreas Kryger Jensen, Department of Public Health, Section of Biostatistics, Univ. of Copenhagen

10.10-10.35:  Prediction models and artificial intelligence for improving prostate cancer diagnostics and treatment” - Martin Eklund, Department of Medical Epidemiology and Biostatistics, Karolinska Institutet. Sweden.

10.40-10.55:  Coffee break

10.55-11.05:  Nonparametric, exact 95% Confidence Intervals for Bland-Altman Limits of Agreement (BA LoA) - Oke Gerke,  Department of Clinical Research, SDU

11.05-11-15:  A pretrained neural network estimator of the  Linfoot informational correlation - Ulrich Halekoh, University of Southern Denmark

12.05-12.30:  ”Quantifying health inequality applying entropic measures on pseudopopulations” - Sören Möller, Department of Public Health, Unit of Epidemiology, Biostatistics and Biodemography, SDU

12.35-13.00: Sandwich to-go and goodbye

 

Sidst opdateret: 21.05.2025