Simulating Complex Crossectional and Longitudinal Data using the simDAG R Package | Paper Citation Record

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This paper cites An Object-Oriented Framework for Statistical Simulation: The R Package simFrame.

Simulating Complex Crossectional and Longitudinal Data using the simDAG R Package An Object-Oriented Framework for Statistical Simulation: The R Package simFrame

Reference 1

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This paper cites Better Simulations for Validating Causal Discovery with the DAG-Adaptation of the Onion Method.

Simulating Complex Crossectional and Longitudinal Data using the simDAG R Package Better Simulations for Validating Causal Discovery with the DAG-Adaptation of the Onion Method

Reference 2

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This paper cites Simulation Methods to Estimate Design Power: An Overview for Applied Research.

Simulating Complex Crossectional and Longitudinal Data using the simDAG R Package Simulation Methods to Estimate Design Power: An Overview for Applied Research

Reference 3

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This paper cites Comparison of Models for the Analysis of Intensive Longitudinal Data.

Simulating Complex Crossectional and Longitudinal Data using the simDAG R Package Comparison of Models for the Analysis of Intensive Longitudinal Data

Reference 4

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This paper cites Generating Survival Times to Simulate Cox Proportional Hazards Models with Time-Varying Covariates.

Simulating Complex Crossectional and Longitudinal Data using the simDAG R Package Generating Survival Times to Simulate Cox Proportional Hazards Models with Time-Varying Covariates

Reference 5

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This paper cites Discrete-Event System Simulation, volume 5.

Simulating Complex Crossectional and Longitudinal Data using the simDAG R Package Discrete-Event System Simulation, volume 5

Reference 6

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This paper cites data.table : Extension of `data.frame`.

Simulating Complex Crossectional and Longitudinal Data using the simDAG R Package data.table : Extension of `data.frame`

Reference 7

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This paper cites Generating Survival Times to Simulate Cox Proportional Hazards Models.

Simulating Complex Crossectional and Longitudinal Data using the simDAG R Package Generating Survival Times to Simulate Cox Proportional Hazards Models

Reference 8

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This paper cites Simulating Survival Data Using the simsurv R Package.

Simulating Complex Crossectional and Longitudinal Data using the simDAG R Package Simulating Survival Data Using the simsurv R Package

Reference 9

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This paper cites Directed Acyclic Graphs for Clinical Research: A Tutorial.

Simulating Complex Crossectional and Longitudinal Data using the simDAG R Package Directed Acyclic Graphs for Clinical Research: A Tutorial

Reference 10

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This paper cites Monte Carlo Simulation and Resampling Methods for Social Science.

Simulating Complex Crossectional and Longitudinal Data using the simDAG R Package Monte Carlo Simulation and Resampling Methods for Social Science

Reference 11

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This paper cites Reporting Guidelines for Health Care Simulation Research: Extensions to the CONSORT and STROBE Statements.

Simulating Complex Crossectional and Longitudinal Data using the simDAG R Package Reporting Guidelines for Health Care Simulation Research: Extensions to the CONSORT and STROBE Statements

Reference 12

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This paper cites Regression Modeling for Recurrent Events Possibly with an Informative Terminal Event Using R Package reReg.

Simulating Complex Crossectional and Longitudinal Data using the simDAG R Package Regression Modeling for Recurrent Events Possibly with an Informative Terminal Event Using R Package reReg

Reference 13

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This paper cites igraph : Network Analysis and Visualization in R.

Simulating Complex Crossectional and Longitudinal Data using the simDAG R Package igraph : Network Analysis and Visualization in R

Reference 14

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This paper cites Survival Data Simulation With the R Package rsurv.

Simulating Complex Crossectional and Longitudinal Data using the simDAG R Package Survival Data Simulation With the R Package rsurv

Reference 15

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This paper cites A Comparison of Different Methods to Adjust Survival Curves for Confounders.

Simulating Complex Crossectional and Longitudinal Data using the simDAG R Package A Comparison of Different Methods to Adjust Survival Curves for Confounders

Reference 16

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This paper cites Impact of Record-Linkage Errors in Covid-19 Vaccine-Safety Analyses using German Health-Care Data: A Simulation Study.

Simulating Complex Crossectional and Longitudinal Data using the simDAG R Package Impact of Record-Linkage Errors in Covid-19 Vaccine-Safety Analyses using German Health-Care Data: A Simulation Study

Reference 17

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This paper cites Illustrating How to Simulate Data from Directed Acyclic Graphs to Understand Epidemiologic Concepts.

Simulating Complex Crossectional and Longitudinal Data using the simDAG R Package Illustrating How to Simulate Data from Directed Acyclic Graphs to Understand Epidemiologic Concepts

Reference 18

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Observation e6fbf6ce-f55a-4c0f-ae5a-1f179a268933 · outbound

This paper cites simstudy : Illuminating Research Methods through Data Generation.

Simulating Complex Crossectional and Longitudinal Data using the simDAG R Package simstudy : Illuminating Research Methods through Data Generation

Reference 19

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This paper cites simr : An R Package for Power Analysis of Generalized Linear Mixed Models by Simulation.

Simulating Complex Crossectional and Longitudinal Data using the simDAG R Package simr : An R Package for Power Analysis of Generalized Linear Mixed Models by Simulation

Reference 20

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This paper cites Ensemble Learning of Inverse Probability Weights for Marginal Structural Modeling in Large Observational Datasets.

Simulating Complex Crossectional and Longitudinal Data using the simDAG R Package Ensemble Learning of Inverse Probability Weights for Marginal Structural Modeling in Large Observational Datasets

Reference 21

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This paper cites DagSim : Combining DAG-Based Model Structure with Unconstrained Data Types and Relations for Flexible, Transparent, and Modularized Data Simulation.

Simulating Complex Crossectional and Longitudinal Data using the simDAG R Package DagSim : Combining DAG-Based Model Structure with Unconstrained Data Types and Relations for Flexible, Transparent, and Modularized Data Simulation

Reference 22

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This paper cites Flexible Simulation of Competing Risks Data Following Prespecified Subdistribution Hazards.

Simulating Complex Crossectional and Longitudinal Data using the simDAG R Package Flexible Simulation of Competing Risks Data Following Prespecified Subdistribution Hazards

Reference 23

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This paper cites Data Generation for the Cox Proportional Hazards Model with Time-Dependent Covariates: A Method for Medical Researchers.

Simulating Complex Crossectional and Longitudinal Data using the simDAG R Package Data Generation for the Cox Proportional Hazards Model with Time-Dependent Covariates: A Method for Medical Researchers

Reference 24

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This paper cites Causal Inference: What If.

Simulating Complex Crossectional and Longitudinal Data using the simDAG R Package Causal Inference: What If

Reference 25

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This paper cites Generating Survival Times Using Cox Proportional Hazards Models with Cyclic and Piecewise Time-Varying Covariates.

Simulating Complex Crossectional and Longitudinal Data using the simDAG R Package Generating Survival Times Using Cox Proportional Hazards Models with Cyclic and Piecewise Time-Varying Covariates

Reference 26

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This paper cites Potential Outcome and Directed Acyclic Graph Approaches to Causality: Relevance for Empirical Practice in Economics.

Simulating Complex Crossectional and Longitudinal Data using the simDAG R Package Potential Outcome and Directed Acyclic Graph Approaches to Causality: Relevance for Empirical Practice in Economics

Reference 27

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This paper cites semTools : U seful tools for structural equation modeling.

Simulating Complex Crossectional and Longitudinal Data using the simDAG R Package semTools : U seful tools for structural equation modeling

Reference 28

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Simulating Complex Crossectional and Longitudinal Data using the simDAG R Package Topological Sorting of Large Networks

Reference 29

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This paper cites Simulation for Designing Clinical Trials: A Pharmacokinetic-Pharmacodynamic Modeling Perspective.

Simulating Complex Crossectional and Longitudinal Data using the simDAG R Package Simulation for Designing Clinical Trials: A Pharmacokinetic-Pharmacodynamic Modeling Perspective

Reference 30

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Simulating Complex Crossectional and Longitudinal Data using the simDAG R Package Principles and Practice of Structural Equation Modeling

Reference 31

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Simulating Complex Crossectional and Longitudinal Data using the simDAG R Package microbenchmark : Accurate Timing Functions

Reference 32

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Observation b2b8dd79-a94a-4f5d-8dd8-2bae9973ebac · outbound

This paper cites Competing Risks Simulation with the survsim R Package.

Simulating Complex Crossectional and Longitudinal Data using the simDAG R Package Competing Risks Simulation with the survsim R Package

Reference 33

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This paper cites Using Simulation Studies to Evaluate Statistical Methods.

Simulating Complex Crossectional and Longitudinal Data using the simDAG R Package Using Simulation Studies to Evaluate Statistical Methods

Reference 34

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This paper cites The Causal Roadmap and Simulations to Improve the Rigor and Reproducibility of Real-Data Applications.

Simulating Complex Crossectional and Longitudinal Data using the simDAG R Package The Causal Roadmap and Simulations to Improve the Rigor and Reproducibility of Real-Data Applications

Reference 35

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Simulating Complex Crossectional and Longitudinal Data using the simDAG R Package Generating Survival Times with Time-Varying Covariates Using the Lambert W Function

Reference 36

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Simulating Complex Crossectional and Longitudinal Data using the simDAG R Package Causal Diagrams for Empirical Research

Reference 37

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This paper cites Causality: Models, Reasoning and Inference.

Simulating Complex Crossectional and Longitudinal Data using the simDAG R Package Causality: Models, Reasoning and Inference

Reference 38

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Simulating Complex Crossectional and Longitudinal Data using the simDAG R Package ggforce : Accelerating ggplot2

Reference 39

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This paper cites Comparison of Open-Source Software for Producing Directed Acyclic Graphs.

Simulating Complex Crossectional and Longitudinal Data using the simDAG R Package Comparison of Open-Source Software for Producing Directed Acyclic Graphs

Reference 40

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This paper cites simsem : SIMulated Structural Equation Modeling.

Simulating Complex Crossectional and Longitudinal Data using the simDAG R Package simsem : SIMulated Structural Equation Modeling

Reference 41

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Simulating Complex Crossectional and Longitudinal Data using the simDAG R Package R : A Language and Environment for Statistical Computing

Reference 42

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This paper cites Beware of the Simulated DAG! Causal Discovery Benchmarks May Be Easy To Game.

Simulating Complex Crossectional and Longitudinal Data using the simDAG R Package Beware of the Simulated DAG! Causal Discovery Benchmarks May Be Easy To Game

Reference 43

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Observation b4caf4b9-30d1-4887-a768-14a1ac9ffcf1 · outbound

This paper cites lavaan : An R Package for Structural Equation Modeling.

Simulating Complex Crossectional and Longitudinal Data using the simDAG R Package lavaan : An R Package for Structural Equation Modeling

Reference 44

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This paper cites Play it Again: Teaching Statistics with Monte Carlo Simulation.

Simulating Complex Crossectional and Longitudinal Data using the simDAG R Package Play it Again: Teaching Statistics with Monte Carlo Simulation

Reference 45

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This paper cites simcausal R Package: Conducting Transparent and Reproducible Simulation Studies of Causal Effect Estimation with Complex Longitudinal Data.

Simulating Complex Crossectional and Longitudinal Data using the simDAG R Package simcausal R Package: Conducting Transparent and Reproducible Simulation Studies of Causal Effect Estimation with Complex Longitudinal Data

Reference 46

Resolution: verified exact; doi, observed 2026-08-07T11:46:58.057540Z

Source-reported events for the cited work

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This paper cites Causation, Prediction, and Search.

Simulating Complex Crossectional and Longitudinal Data using the simDAG R Package Causation, Prediction, and Search

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:46:59.916653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7cee153e-1af1-4da4-8d5d-e980715e6ca1 · outbound

This paper cites A Dynamic Microsimulation Model for Epidemics.

Simulating Complex Crossectional and Longitudinal Data using the simDAG R Package A Dynamic Microsimulation Model for Epidemics

Reference 48

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This paper cites Simulation and Computational Red Teaming for Problem Solving.

Simulating Complex Crossectional and Longitudinal Data using the simDAG R Package Simulation and Computational Red Teaming for Problem Solving

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:46:59.844804Z

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Observation 6b6b47bd-d15a-484a-af78-35b62c4d02d4 · outbound

This paper cites Simulation of Synthetic Complex Data: The R Package simPop.

Simulating Complex Crossectional and Longitudinal Data using the simDAG R Package Simulation of Synthetic Complex Data: The R Package simPop

Reference 50

Resolution: verified exact; doi, observed 2026-08-07T11:46:57.986163Z

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Observation 466ee3e0-e31e-497c-b9c4-4c3b31053e11 · outbound

This paper cites Robust Causal Inference using Directed Acyclic Graphs: The R Package daggity.

Simulating Complex Crossectional and Longitudinal Data using the simDAG R Package Robust Causal Inference using Directed Acyclic Graphs: The R Package daggity

Reference 51

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This paper cites A Package for Survival Analysis in R.

Simulating Complex Crossectional and Longitudinal Data using the simDAG R Package A Package for Survival Analysis in R

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:46:59.745528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5d184ab9-5c58-4532-b572-62d465eb361e · outbound

This paper cites Modeling Discrete Time-to-Event Data.

Simulating Complex Crossectional and Longitudinal Data using the simDAG R Package Modeling Discrete Time-to-Event Data

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:46:59.667817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 75f8c89a-2403-43bf-959b-de52abcda2d5 · outbound

This paper cites reda : Recurrent Event Data Analysis.

Simulating Complex Crossectional and Longitudinal Data using the simDAG R Package reda : Recurrent Event Data Analysis

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:46:59.576907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9f7653ff-f9a3-4e7f-8b15-abc13e7792b9 · outbound

This paper cites ggplot2 : Elegant Graphics for Data Analysis.

Simulating Complex Crossectional and Longitudinal Data using the simDAG R Package ggplot2 : Elegant Graphics for Data Analysis

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:46:59.506710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7ec15204-0447-4c48-b863-151167c65375 · outbound

This paper cites How to Implement Directed Acyclic Graphs to Reduce Bias in Addiction Research.

Simulating Complex Crossectional and Longitudinal Data using the simDAG R Package How to Implement Directed Acyclic Graphs to Reduce Bias in Addiction Research

Reference 56

Resolution: verified exact; doi, observed 2026-08-07T11:46:57.914751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5f4ed3f8-7e17-46c1-8ccb-e62f632d6dcf · outbound

This paper cites Application of Discrete Event Simulation in Health Care: A Systematic Review.

Simulating Complex Crossectional and Longitudinal Data using the simDAG R Package Application of Discrete Event Simulation in Health Care: A Systematic Review

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-07T11:45:38.467495Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0130421e-30f9-4d41-9c5a-6a059b59d9e7 · outbound

This paper cites Time-Varying Covariates and Coefficients in Cox Regression Models.

Simulating Complex Crossectional and Longitudinal Data using the simDAG R Package Time-Varying Covariates and Coefficients in Cox Regression Models

Reference 58

Resolution: verified exact; doi, observed 2026-08-07T11:46:21.630037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f0de4f76-f4cf-430b-8da2-17dbaa3d4db3 · outbound

This paper cites , " * write output.state after.block = add.period write newline.

Simulating Complex Crossectional and Longitudinal Data using the simDAG R Package , " * write output.state after.block = add.period write newline

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-07T11:45:38.506583Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 146078c5-0d86-44c7-a316-5f486d50ae26 · outbound

This paper cites write newline.

Simulating Complex Crossectional and Longitudinal Data using the simDAG R Package write newline

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-07T11:45:38.522318Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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