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Reproduction code for "Simple Covariate Adjustment for Many Estimands Using Stable Balancing Weights" (Irish, Zubizarreta, Luedtke): binary-ATE, survival-risk-ratio, and coherence simulations, the Table 1 illustration, and the AMP trial application.
Complete R implementation of the simulation framework from Lohmann, Groenwold & van Smeden (2023) comparing likelihood penalization and variance decomposition approaches for clinical prediction models.
Dissertation research evaluating missing data imputation methods for classification tasks. Analyzes 100 iterations with mixed data types, multiple classifiers, and feature importance preservation.
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.
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.
Code and data for "Behind the Matrix: Numerical Error in Quantum Chemistry" — a simulation study predicting numerical error in generalized eigenvalue solvers using dimension, scaling factor, and condition number as predictors.
Bayesian VAR vs. Temporal Convolutional Networks: a simulation study on forecasting accuracy and uncertainty calibration. MSc Statistics thesis, UC3M (mirror).
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 robust regression study using the Density Power Divergence estimator for multiple linear regression, with simulation experiments, efficiency analysis, outlier detection, and real-data applications implemented in R.
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).
Quarto book reporting a preregistered Monte Carlo study of Dirichlet process mixture priors and goal-specific posterior summaries in Bayesian IRT: 120 conditions, 7,200 fits, data and code included.