The browser you are using is not supported by this website. All versions of Internet Explorer are no longer supported, either by us or Microsoft (read more here:

Please use a modern browser to fully experience our website, such as the newest versions of Edge, Chrome, Firefox or Safari etc.

Methodological issues in epidemiology and population research

A Tornblad/LUPOP seminar series

Please note that registration is required. For more information, contact Anton Nilsson (anton [dot] nilsson [at] med [dot] lu [dot] se). Subscribe or unsubscribe to the e-mail list here.

The seminars take place 13.00 -14.00.

Upcoming seminars

October 12

Carl Bonander, University of Gothenburg and Karlstad University
A capture-recapture-based ascertainment probability weighting method for effect estimation with under-ascertained outcomes
Online only [Registration]

  • Outcome under-ascertainment, which arises from incomplete identification or reporting of cases, can lead to severe bias in epidemiological research. While capture-recapture methods can estimate unknown case numbers, their role in estimating exposure effects in observational studies is not well-established. In this seminar, I will present and discuss a new method that integrates capture-recapture methods and propensity score weighting to simultaneously adjust for confounding and under-ascertainment. I will also share the results from an empirical example, where we have applied the method estimate the relationship between healthcare work and under-ascertained data on COVID-19 tests.

November 9
Nicklas Guldåker, Lund University
Forecasting risky places in Swedish cities with Risk Terrain Modeling (RTM)
Tornblad & online [Registration]

December 7
George Leckie, University of Bristol
An Introduction to Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy (MAIHDA) for Quantitative Intersectionality Research
Online only [Registration]

Previous seminars

Fall 2023

Martin Fischer (IFN, Lund University, and RWI Essen) - Long-term causal effects of access to institutional delivery service on dementia risk (September 14) [Presentation]

Spring 2023

Kani Khalaf (Lund University) - Challenges in studying outcome associations with a time-varying exposure: The case of montelucast and dementia (May 11)

Conor MacDonald (Karolinska Institutet) - Transporting the effects of a randomized trial to its target population: An example using the TASTE trial (April 13) [Presentation]

Emerald Heiland (The Swedish School of Sport and Health Sciences & Uppsala University) - Trajectories of physical activity before and after a cancer diagnosis in persons with diabetes: An example of group-based trajectory modelling (March 9) [Presentation]

Adam Mitchell (Lund University) - COVID-19 vaccine uptake in Skåne county, Sweden, in relation to individual and regional sociodemographic factors (February 9) [Presentation]

Fall 2022

Christiana Demetriou, Souzana Achilleos and Victoria Beeks (University of Nicosia) - Excess mortality during the COVID-19 pandemic in countries across the globe: results from the C-MOR consortium study (December 8) [Presentation]

Mikael Svensson (University of Gothenburg) - Applied cost-effectiveness analysis: what and why? (November 17) [Presentation]

Dominik Dietler (Lund University) - Challenges and lessons learned using registry data in low- and middle-income countries (October 13) [Presentation]

Adel Daoud (Linköping University & Harvard University) - Statistical modeling: the three cultures (September 13) [Presentation] [Podcast]

Spring 2022

Anna Åkesson (Lund University) - Introduction to Generalized Propensity Scores (GPS) (May 12) [Presentation]

Emily Sonested (Lund University) - Methodological considerations in nutritional epidemiology (April 7) [Presentation]

Sara Hägg (Karolinska Institute) - Mendelian Randomization analysis to provide support for causal associations on frailty (March 17) [Presentation]

Evelien Snippe (University of Groningen) - The multilevel vector autoregressive (VAR) model: gaining insight in bi-directional temporal associations (February 10) [Presentation].

Fall 2021

Axel Nyström (Lund University) - Deep learning in emergency care (December 9) [Presentation]

Gustav Nilsonne (Karolinska Institute) - Methods to assess and mitigate re-identification risks when sharing research data (November 11) [Presentation]

Volha Lazuka (University of Southern Denmark/Lund University) - Applications of the difference-in-differences approach (October 7) [Presentation]

Josef Fritz (Medical University of Innsbruck) - Statistical mediation analysis – overview, recent developments and an application in cancer epidemiology (September 16) [Presentation] [Paper]

Spring 2021

Laura Pazzagli (Karolinska Institute) - A discussion on the use of the p-value (May 27) [Presentation]

Mikael Eriksson (Karolinska Institute) - Risk assessment in screening and prevention of breast cancer (April 29)  [Presentation]

Sepideh Pashami (Halmstad University) - Causal inference in machine learning (March 25) [Presentation]

Lise G. Bjerregaard (Frederiksberg Hospital) - Methodological considerations on associations between weight status across the life course and risk of cardiometabolic disease (February 18)  [Presentation]

Fall 2020

Jonas Björk - Epidemiological studies druring the COVID-19 pandemic- a few methodological and general considerations [Presentation]

Liisa Byberg & Adam Mitchell – A few approaches to mediation analysis (November 12) [Presentation], [Presentation]

Paul Dickman - Flexible survival models, advantages and... more advantages (October 14) [Presentation]

Spring 2020

Mattias Ohlsson - Machine learning for dummies (February 27)