List of Recent Talks and Slides

2023

Analysis of closed-cohort stepped-wedge cluster-randomized trials with non-ignorable dropout via joint longitudinal-survival models

9th Annual Meeting on Current Developments in Cluster Randomised Trials and Stepped Wedge Designs

Hierarchical survival models: estimation, prediction, interpretation

2023 Northern European Stata Conference

2022

Monte Carlo simulation: an invaluable tool for 21st century statisticians

Seminar Series in Biostatistics, Department of Statistics and Quantitative Methods, Università degli Studi di Milano-Bicocca

ReproHack: practicing research reproducibility

Open Access Week 2022 at Karolinska Institutet

Getting comfortable with being uncomfortable… as an early-career biostatistician

Early Career Biostatisticians Day at the 43rd Conference of the International Society for Clinical Biostatistics

A natural history and copula based joint model for regional and distant breast cancer metastasis

43rd Conference of the International Society for Clinical Biostatistics

A joint model of breast tumour size at diagnosis and time to recurrence

CISNET 2022 Mid-Year Meeting

A natural history and copula based joint model for regional and distant breast cancer metastasis

Internal Biostatistics Seminar, Department of Medical Epidemiology and Biostatistics, Karolinska Institutet

2021

A practical tour in the world of joint modelling

Baxter Novum and Renal Medicine Zoom Seminars, Karolinska Institutet

An introduction to Monte Carlo simulation studies for statisticians

Seminar Series in Biostatistics, Department of Statistics and Quantitative Methods, Università degli Studi di Milano-Bicocca

A practical tour in the world of joint modelling

Faculty Event, Department of Medical Epidemiology and Biostatistics, Karolinska Institutet

A guided tour through Monte Carlo simulation studies

Invited Seminar, EPID 702 Course on Advanced Topics in Epidemiologic Research at the University of Pennsylvania

2020

Natural history models for breast cancer growth and spread

RSS International Conference 2020

Natural history models for breast cancer growth and spread

YSM 2020

Open tools to analyse and report Monte Carlo simulation studies

Spring Meeting of the Swedish Society for Medical Statistics

Modelling breast cancer tumour growth and metastasis

Internal Epidemiology/Biostatistics Seminar, Department of Health Sciences, University of Leicester

2019

Modelling longitudinal electronic health records data with an informative observation process and drop-out

Internal Biostatistics Seminar, Department of Medical Epidemiology and Biostatistics, Karolinska Institutet

Analysing results from Monte Carlo simulation studies

useR! 2019

2018

Analysing longitudinal data originating from electronic health records

Internal Epidemiology/Biostatistics Seminar, Department of Health Sciences, University of Leicester

Optimal plasma potassium [K+] ranges across chronic kidney disease stages: the Stockholm CREAtinine Measurements (SCREAM) project

55th ERA-EDTA Congress

Version control will save your life

Department of Health Sciences Postgraduate Forum 2018

Joint models for survival and longitudinal data when the observation process is informative

7th Survival Analysis for Junior Researchers Conference

2017

Mixed effects survival models

Seminar Series in Biostatistics, Department of Statistics and Quantitative Methods, Università degli Studi di Milano-Bicocca

Exploring results from simulation studies interactively

Students Day at the 38th Conference of the International Society for Clinical Biostatistics

Impact of model misspecification in survival models with frailties

38th Conference of the International Society for Clinical Biostatistics

Impact of model misspecification in survival models with frailties

Statistical Analysis of Multi-Outcome Data (SAM) 2017 Conference

Inappropriate prescription of nephrotoxic drugs to individuals with chronic kidney disease: a community-based analysis from the Stockholm CREAtinine Measurements (SCREAM) Project

54th ERA-EDTA Congress

Direct likelihood maximisation using numerical quadrature to approximate intractable terms

6th Survival Analysis for Junior Researchers Conference