simulation-study

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.

Estudo de simulação em TRI: 2PL longitudinal com efeito humano-máquina, estimado com mirt e Stan

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

Complete R implementation of the simulation framework from Lohmann, Groenwold & van Smeden (2023) comparing likelihood penalization and variance decomposition approaches for clinical prediction models.

How far can a phone camera go toward a reflectance spectrum? A local research workbench and a reproducible study on measured spectra. Not for judging whether anything is safe to eat.

A comparison of crime linkage models on simulated data

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.

Bilinear form test statistics for extremum estimation

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.