Nicole Erler


Erasmus Medical Center Rotterdam


I am an Assistant Professor at the Department of Biostatistics at the Erasmus Medical Center in Rotterdam. My research focus is on personalizing screening and intervention schedules and Bayesian methods for incomplete data, specifically for settings with missing covariates. Since 2017, I support the department of Gastroenterology & Hepatology in the planning and analysis of clinical trials and observational studies.


  • Statistical Methods for Missing Data
  • Bayesian Methods
  • Longitudinal Data Analysis
  • Joint Models


  • PhD in Biostatistics, 2019

    Erasmus Medical Center, Rotterdam, the Netherlands

  • Doctor of Science in Epidemiology, 2014

    Netherlands Institute of Health Science, Rotterdam, the Netherlands

  • Diplom Statistics (equivalent BSc + Msc), 2012

    Ludwig-Maximilians-Universität München, Munich, Germany

Recent & Upcoming Talks

Dynamic Prediction

Imputation Magic - How (not) to deal with incomplete data

When and Why Imputation with MICE / FCS Might Fail

Working with Missing Data and Imputation

Dealing with Missing Values in Multivariate Joint Models for Longitudinal and Survival Data

Recent Publications


Joint Analysis and Imputation of Incomplete Data in R

R package JointAI for analysis of incomplete data in the Bayesian framework.


R package JointAI

R package for Joint Analysis and Imputation of incomplete data in R using the Bayesian framework

Shiny application: Non-linear effects

R shiny application to test for the need of non-linear effects using splines in linear, logistic, poisson and Cox regression models