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Reproducibility of COVID-era infectious disease models
11 references·0 citing·44 second hop
Reproducibility of COVID-era infectious disease models (2024)Reproducibility of COVID-era infectious d…An implementation framework to improve the transparency and reproducibility of computational models of infectious diseases (2023)An implementation framework t…The critical need to foster computational reproducibility (2022)The critical need to foster c…Reproducibility of COVID-19 pre-prints (2022)Reproducibility of COVID-19 p…An anchor in troubled times: Trust in science before and within the COVID-19 pandemic (2022)An anchor in troubled times: …A meta-epidemiological assessment of transparency indicators of infectious disease models (2022)A meta-epidemiological assess…Reproducibility in machine learning for health research: Still a ways to go (2021)Reproducibility in machine le…Recommended reporting items for epidemic forecasting and prediction research: The EPIFORGE 2020 guidelines (2021)Recommended reporting items f…Learning from reproducing computational results: introducing three principles and the Reproduction Package (2021)Learning from reproducing com…Reproducibility and Replicability in Science (2019)Reproducibility and Replicabi…Enabling the Verification of Computational Results (2018)Enabling the Verification of …WaveLab and Reproducible Research (1995)WaveLab and Reproducible Rese…Replication, Replication (1995)Promoting an open research culture (2015)Enhancing reproducibility for computational methods (2016)On the evaluation of research software: the CDUR procedure (2019)The role of metadata in reproducible computational research (2021)Reproducible Research Practices and Barriers to Reproducible Research in Geography: Insights from a Survey (2023)1,500 scientists lift the lid on reproducibility (2016)Reproducibility vs. Replicability: A Brief History of a Confused Terminology (2018)State of the Art: Reproducibility in Artificial Intelligence (2018)Clinica: An Open-Source Software Platform for Reproducible Clinical Neuroscience Studies (2021)Evaluation and Mitigation of Racial Bias in Clinical Machine Learning Models: Scoping Review (2022)REFORMS: Consensus-based Recommendations for Machine-learning-based Science (2024)Why Most Published Research Findings Are False (2005)Estimating the reproducibility of psychological science (2015)Nextflow enables reproducible computational workflows (2017)Reliability and reproducibility in computational science: implementing validation, verification and uncertainty quantification in silico (2021)A rigorous uncertainty-aware quantification framework is essential for reproducible and replicable machine learning workflows (2023)For long-term sustainable software in bioinformatics (2024)Comparing Predictive Accuracy (1994)Comparing Predictive Accuracy (1995)The PRISMA 2020 statement: an updated guideline for reporting systematic reviews (2021)Comparing trained and untrained probabilistic ensemble forecasts of COVID-19 cases and deaths in the United States (2022)The Honest Broker (2007)Gender differences in COVID-19 attitudes and behavior: Panel evidence from eight countries (2020)Using social and behavioural science to support COVID-19 pandemic response (2020)Pandemic fatigue fueled political discontent during the COVID-19 pandemic (2022)Trust in scientists and their role in society across 68 countries (2024)Trust in scientists and their role in society across 68 countries (2025)Reproducible Research in Computational Science (2011)A manifesto for reproducible science (2017)Comparing containerization-based approaches for reproducible computational modeling of environmental systems (2023)Reproducing computational processes in service-based geo-simulation experiments (2023)Agent-based modeling: Methods and techniques for simulating human systems (2002)The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) Statement: Guidelines for Reporting Observational Studies (2007)The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies (2008)Transparency in Infectious Disease Research: Meta-research Survey of Specialty Journals (2023)The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2018 update (2018)Reproducibility and Environmental Efficiency of Metabolomics Cancer Modeling (2026)Statistical Analyses and Reproducible Research (2007)Scientific Utopia (2012)Recommendations for Increasing Replicability in Psychology (2013)Challenges for assessing replicability in preclinical cancer biology (2021)Replicability, Robustness, and Reproducibility in Psychological Science (2021)Prevalence of questionable research practices, research misconduct and their potential explanatory factors: A survey among academic researchers in The Netherlands (2022)
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References

  • 2019Reproducibility and Replicability in Science921 cited
  • 1995WaveLab and Reproducible Research543 cited
  • 2021Reproducibility in machine learning for health research: Still a ways to go270 cited
  • 2022An anchor in troubled times: Trust in science before and within the COVID-19 pandemic155 cited
  • 2021Recommended reporting items for epidemic forecasting and prediction research: The EPIFORGE 2020 guidelines80 cited
  • 2021Learning from reproducing computational results: introducing three principles and the Reproduction Package46 cited
  • 2022The critical need to foster computational reproducibility30 cited
  • 2018Enabling the Verification of Computational Results21 cited
  • 2022A meta-epidemiological assessment of transparency indicators of infectious disease models17 cited
  • 2023An implementation framework to improve the transparency and reproducibility of computational models of infectious diseases16 cited
  • 2022Reproducibility of COVID-19 pre-prints12 cited

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