9th Nordic-Baltic Biometric Conference

June 16-18, 2023

Programme overview

Friday June 16:Conference day 1 and welcome reception
Saturday June 17:Conference day 2 and conference dinner
Sunday June 18:Conference day 3

The conference will include invited and contributed sessions.

Information to speakers

  • Keynote speakers will each have 50 minutes available for presentation and 10 minutes for questions.
  • Speakers in invited sessions will each have 25 minutes available for presentation and 5 minutes avaible for questions.
  • Speakers in contributed sessions will each have 16 minutes available for presentation and 4 minutes for questions.

There will be AV and computer facilities available at the conference venue.

Speakers should send their presentations in either PDF or PowerPoint format to Therese Andersson at least on the day before they are presenting.


The abstracts book can be found here.

Detailed programme

09:00-10:30Invited session. Precision medicine.
10:30-11:00Coffee break.
11:00-12:20Contributed session. Biostatistical modelling.
13:30-15:00Invited session. Causal Inference.
15:00-15:30Coffee break.
15:30-16:30Keynote talk by Yudi Pawitan.
16:30-16:40Short break.
16:40-17:40Contributed session. Analysis of pension and disorder data.
18:00-Welcome reception.
09:00-10:30Invited session. Modelling based on finite mixtures.
10:30-11:00Coffee break.
11:00-12:20Contributed session. Health and epidemiology.
13:30-15:00Invited session. Teaching and consulting.
15:00-15:30Coffee break.
15:30-16:30Keynote talk by SJS invited speaker Deborah Ashby.
16:30-16:40Short break.
16:40-17:40Contributed session. Theory of statistics and biostatistics.
18:30-Conference dinner.
09:00-10:00Keynote talk by Krista Fischer.
10:00-10:30Coffee break.
10:30-12:00Invited session. Combination of (Very) Different Data Sources.
12:00-12:15Announcement of NBBC25 and closing.

Keynote speakers

Yudi Pawitan, Karolinska InstitutetPersonalized prediction of drug response in cancer
Deborah Ashby, SJS-invited speaker, Imperial College LondonIssues in data-monitoring for complex clinical trials
Krista Fischer, University of Tartu.Covid-pandemic as a lesson of scientific communication (for statisticians) and statistical literacy (for politicians, media and everyone else): the Estonian experience.

Invited sessions

Session 1Precision medicine
organized by Carl-Fredrik Burman, AstraZeneca
Carl-Fredrik Burman, AstraZenecaBorrowing Information ― Between Patients, Subpopulations and Trials.
Anders Eriksson, Tartu UniversityGene-environment interactions in metabolic traits: challenges and opportunities for personalised medicine.
Mario Ouwens, AstraZenecaEnhancing Randomized Clinical Trial publications to simplify population adjustment and personalized medicine.
Session 2Causal inference
organized by Erin Gabriel, University of Copenhagen
Torben Martinussen, University of CopenhagenA nonparametric test for treatment effect for survival data when censoring may depend on treatment as well as covariates.
Helene Charlotte Wiese Rytgaard, University of CopenhagenContinuous-time TMLE for causal inference in time-to-event settings.
Zehao Su, University of CopenhagenIndirect comparison with proximal causal inference.
Session 3Modelling based on finite mixtures
organized by Tapio Nummi, Tampere University
Janne Salonen, Finnish Public Sector Pension Provider Keva, FinlandModelling wage earnings preceding disability retirement using trajectory analysis.
Tapio Nummi, Tampere University, FinlandOn the improved estimation of the normal mixture components for longitudinal data.
Jianxin Pan, United International College, ChinaVariable selection in mixture regression for longitudinal data based on joint mean-covariance model.
Session 4Teaching and consulting
organized by Therese Andersson, Karolinska Institutet
Annica Dominicus, Karolinska InstitutetThe power of a joint effort – consultancy through a network of biostatisticians, bioinformaticians and data analysts.
Roza Maghsood, AstraZenecaUnderstanding transition from gestational diabetes to Type-2 diabetes with ML.
Therese Andersson, Karolinska InstitutetSetting up a new MSc programme in Biostatistics and Data Science within Stockholm Trio.
Session 5Combination of (Very) Different Data Sources
organized by Nils Lid Hjort, University of Oslo
Nils Lid Hjort, Department of Mathematics, University of OsloIndependent Inspection, Confidence Conversion, Focused Fusion: combining (very) different information sources.
Celine Cunen, Norwegian Computing Centre, OsloBlending forecasts for the time-to-frost.
Felix Held, Department of Mathematical Sciences, Chalmers University of Technology and University of GöteborgInterpretable multi-omics integration using sparse joint matrix factorization.

Contributed sessions

Session 1Biostatistical modelling
Emre KaramanBayesian gene regulatory network inference using mixture priors.
Valentin VancakSensitivity Analysis of G-estimators to Invalid Instrumental Variables.
Pål Christie RyalenA framework for counterfactuals in marked point process models.
Kjetil RøyslandCausal graphs for identification of causal effects in continuous-time event-history analyses.
Session 2Analysis of pension and disorder data
Adnan Noor BalochPerformance evaluation of machine learning techniques for prediction of disability pension among workers with Musculoskeletal Disorders
Petra SohlmanSickness absences and earnings before the disability pension application: A trajectory analysis of Finnish municipal sector employees
Deniz SigirliOn the Performance Comparison of Ordinal Regression Models
Session 3Health and epidemiology
Jukka KonttoProjecting the health care costs after obstructive sleep apnea diagnosis using register data and Bayesian predictive modelling
Mari BrathovdeA lean additive frailty model: with an application to clustering of melanoma in Norwegian families
Kirsten MehligGenetic associations vary across the spectrum of fasting serum insulin: results from the European IDEFICS/I.Family children’s cohort
Tommu GrönQuantifying Movement Behavior of Chronic Low Back Pain Patients in Virtual Reality
Session 4Theory of statistics and biostatistics
Andreas Kryger JensenHaving a ball: Gaussian process regression as a probabilistic way to model and express spectator excitement of basketball matches
Denise UwamariyaLarge-deviation asymptotics of condition numbers of random matrices
Emelyne Umunoza GasanaEdgeworth-type expansion of the density of the classifier when growth curves are classified via likelihood