A tool to easily orchestrate general computational workflows both locally and on supercomputers

This repository provides R-code for the estimation of the conditional average treatment effect (CATE) using machine learning (ML) methods.

Analysis of simulation studies including Monte Carlo error

psborrow2: Bayesian Dynamic Borrowing Simulation Study and Analysis

Files to run example simulation study described in Morris, Crowther and White https://arxiv.org/abs/1712.03198

Repo for the paper entitled "Clinical Prediction Models to Predict the Risk of Multiple Binary Outcomes: a comparison of multivariate approaches".

Supplementary materials for the manuscript "A comparison of methods for clustering longitudinal data with slowly changing trends" by N. G. P. Den Teuling, S.C. Pauws, and E.R. van den Heuvel, published in Communications in Statistics - Simulation and Computation (2021).

Archived 2021 computational-statistics project comparing variable-importance and feature-selection methods for random forests.

R package for running simulation studies with stan

Outcome misclassification in a simulated randomized controlled trial

Reproducible Monte Carlo simulation code and result archives for studying finite-sample information retention in multinomial logit and matched binary logit estimators.

This project investigates the KCV-SMOTE and KFS method and its predictive performance under different proportions of unbalanced data and ratios of signal-to-noise using simulated credit transaction data.

Dissertation research evaluating missing data imputation methods for classification tasks. Analyzes 100 iterations with mixed data types, multiple classifiers, and feature importance preservation.

Supplementary materials for the manuscript "Latent-class trajectory modeling with a heterogeneous mean-variance relation" by N. G. P. Den Teuling, F. Ungolo, S.C. Pauws, and E.R. van den Heuvel

R package that estimates individual longitudinal trajectories and their inflection points using two estimating procedures: the parametric nonlinear mixed effects model (NLME) and the multi-stage nonparametric approaches.

Bayesian adaptive Phase II oncology trial simulator with event-driven futility, response-adaptive randomization, and a parallel TCGA-BRCA survival case study. R + Stan + SAS, ICH E9(R1) estimand SAP.

Bayesian MCMC comparison for interval-censored survival data — HMC (Stan) vs Metropolis-Hastings (JAGS) for log-logistic AFT models. MSc Biostatistics research with simulation study across 5,400 datasets.

A comparison of crime linkage models on simulated data

Supplementary materials for the manuscript "A comparison of methods for clustering longitudinal data with slowly changing trends" by N. G. P. Den Teuling, S.C. Pauws, and E.R. van den Heuvel, published in Communications in Statistics - Simulation and Computation (2021).

Code for "Evaluating empirical calibration of P-values under unmeasured confounding bias: a simulation study and real-world application" (JCE, 2026)