Jon Michael Gran

@jmgran.bsky.social

Professor of biostatistics at the University of Oslo. Causal inference, survival/event history analysis, jmgran.github.io

We are seeking candidates for a PhD position in biostatistics at the University of Oslo! The project is on methods for casual inference and event history analysis, motivated in particular by the study of vaccine effects. See the full call for more details. www.jobbnorge.no/en/available...

4-year PhD position in Biostatistics (292171) | University of Oslo

Job title: 4-year PhD position in Biostatistics (292171), Employer: University of Oslo, Deadline: Wednesday, February 4, 2026

jobbnorge.no

Registration and abstract submission is now open for the Nordic-Baltic Biometrics conference in Oslo June 10-12! Take a look at www.nbbc2025.com See also the pre-conference course in causal inference for time-to-event outcomes with Ruth Keogh and myself on June 9.

Nordic-Baltic Biometric Conference 2025 (NBBC 2025)

The Nordic-Baltic Region of the International Biometric Society welcomes you to the 10th Nordic-Baltic Biometric Conference!  The conference will take place June 10-12, 2025, at the University of Oslo...

nbbc2025.com

🎉 Happy New Year! 🎉 Kickstart 2025 with exciting news! 🌟 Registrations for EuroCIM 2025 are now OPEN! Secure your spot with early-bird discounts until March 1. 🔔 Reminder: Abstract submissions close January 15, 23:00 CET—don’t miss your chance to contribute!

Want to do a postdoc in Oslo? We're seeking candidates for a four year postdoc position in causal inference/time-to-event analysis. Application deadline is January 31. See below for more information and feel free to take contact if you have any questions! www.jobbnorge.no/en/available...

Four year postdoc position at the Oslo Centre for Biostatistics and Epidemiology (OCBE) (272144) | University of Oslo

Job title: Four year postdoc position at the Oslo Centre for Biostatistics and Epidemiology (OCBE) (272144), Employer: University of Oslo, Deadline: Friday, January 31, 2025

jobbnorge.no

New paper from Shaun Seaman and me on how to simulate data from marginal structural models (MSMs) for survival outcomes, including Cox MSMs. This can be useful in simulation studies evaluating causal inference methods that use MSMs. R code provided. onlinelibrary.wiley.com/doi/10.1002/...

Simulating Data From Marginal Structural Models for a Survival Time Outcome

Marginal structural models (MSMs) are often used to estimate causal effects of treatments on survival time outcomes from observational data when time-dependent confounding may be present. They can be...

onlinelibrary.wiley.com