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).

R package for running simulation studies with stan

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

Code for Master Thesis titled: "Dynamic Factor Model with Time-Varying Parameters: Simulation Study & Application to International Inflation Dynamics"

Simulation Study for the Bayes PCA method

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.

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).

Bilinear form test statistics for extremum estimation

An R package to compute a confidence interval for the sample variance. Don't assume normality.

Theoretical analysis of standard error estimation techniques for clustered data, showing biased results using simulations and real case-study data.