A Survey of Reporting Practices of Computer Simulation Studies in Statistical Research

DOI10.1080/00031305.2017.1342692OpenAlexW2729250377MaRDI QIDQ5882553

Nidhi Kohli, Michael R. Harwell, Unnamed Author

Publication date: 17 March 2023

Published in: The American Statistician (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00031305.2017.1342692

zbMATH Keywords

surveycomputer simulationdesign and data analysis

Mathematics Subject Classification ID

Statistics (62-XX)

Uses Software

• idr

Cites Work

• Measuring reproducibility of high-throughput experiments
• Markov chain Monte Carlo: can we trust the third significant figure?
• Do robust estimators work with real data?
• The design and analysis of computer experiments.
• Design and analysis of computer experiments. With comments and a rejoinder by the authors
• Comparison of designs for computer experiments
• Jackknife estimation of mean squared error of small area predictors in nonlinear mixed models
• The Reporting of Computation-Based Results in Statistics
• On the Assessment of Monte Carlo Error in Simulation-Based Statistical Analyses
• Sensitivity Analyses Comparing Outcomes Only Existing in a Subset Selected Post‐Randomization, Conditional on Covariates, with Application to HIV Vaccine Trials
• The Number of MCMC Draws Needed to Compute Bayesian Credible Bounds

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