Most cited mathematics papers
- Verified
A K -fold averaging cross-validation procedure
Jung, Y., & Hu, J. (2015) · Journal of Nonparametric Statistics
Statistical Methods and InferenceStatistical Methods and Applications
Cited by 401
- Verified
A Rewritable, Random-Access DNA-Based Storage System
Tabatabaei Yazdi, S. M. H., Yuan, Y., Ma, J., Zhao, H., & Milenkovic, O. (2015) · Scientific Reports
DNA and Biological ComputingAlgorithms and Data Compression
Cited by 401
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Herding dynamical weights to learn
Welling, M. (2009) · Proceedings of the 26th Annual International Conference on Machine Learning
Markov Chains and Monte Carlo MethodsGaussian Processes and Bayesian Inference
Cited by 401
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Minimum sample size for external validation of a clinical prediction model with a binary outcome
Riley, R. D., Debray, T. P. A., Collins, G. S., Archer, L., Ensor, J., van Smeden, M., & Snell, K. I. E. (2021) · Statistics in Medicine
Statistical Methods in EpidemiologyStatistical Methods in Clinical Trials
Cited by 400
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Handling missing data in clinical research
Heymans, M. W., & Twisk, J. W. R. (2022) · Journal of Clinical Epidemiology
Statistical Methods and Bayesian InferenceStatistical Methods in Clinical Trials
Cited by 399
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GLIMMPSE : Online Power Computation for Linear Models with and without a Baseline Covariate
Kreidler, S. M., Muller, K. E., Grunwald, G. K., Ringham, B. M., Coker-Dukowitz, Z., Sakhadeo, U. R., Baron, A. E., & Glueck, D. H. (2013) · Journal of Statistical Software
Statistical Methods in Clinical TrialsStatistical Methods in Epidemiology
Cited by 399
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ACCOUNTING FOR DROPOUT BIAS USING MIXED-EFFECTS MODELS
Mallinckrodt, C. H., Clark, W. S., & David, S. R. (2001) · Journal of Biopharmaceutical Statistics
Statistical Methods and Bayesian InferenceStatistical Methods in Clinical Trials
Cited by 398
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Statistical learning and selective inference
Taylor, J., & Tibshirani, R. J. (2015) · Proceedings of the National Academy of Sciences
Statistical Methods and InferenceStatistical Methods and Applications
Cited by 398
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Dealing With Missing Outcome Data in Randomized Trials and Observational Studies
Groenwold, R. H. H., Donders, A. R. T., Roes, K. C. B., Harrell, F. E., & Moons, K. G. M. (2012) · American Journal of Epidemiology
Statistical Methods and Bayesian InferenceAdvanced Causal Inference Techniques
Cited by 398
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Direct simulation scheme derived from the Boltzmann equation. I. Monocomponent gases
Nanbu, K. (1980) · Journal of the Physical Society of Japan
Gas Dynamics and Kinetic TheoryAdvanced Physical and Chemical Molecular Interactions
Cited by 397
- Verified
Learning Representations for Counterfactual Inference
Johansson, F. D., Shalit, U., & Sontag, D. (2016) · arXiv
Advanced Causal Inference TechniquesMachine Learning in Healthcare
Cited by 396
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Epidemiological data from the COVID-19 outbreak, real-time case information
Xu, B., Gutierrez, B., Mekaru, S., Sewalk, K., Goodwin, L., Loskill, A., Cohn, E. L., Hswen, Y., Hill, S. C., Cobo, M. M., et al. (2020) · Scientific Data
COVID-19 epidemiological studiesData-Driven Disease Surveillance
Cited by 396
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Handling missing data in RCTs; a review of the top medical journals
Bell, M. L., Fiero, M., Horton, N. J., & Hsu, C.-H. (2014) · BMC Medical Research Methodology
Statistical Methods in Clinical TrialsMeta-analysis and systematic reviews
Cited by 395
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Challenges in the design and interpretation of Noninferiority trials
Mauri, L., & D’Agostino, R. B. (2017) · New England Journal of Medicine
Statistical Methods in Clinical TrialsPharmaceutical studies and practices
Cited by 395
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Nested by design: model fitting and interpretation in a mixed model era
Schielzeth, H., & Nakagawa, S. (2013) · Methods in Ecology and Evolution
Statistical Methods and Bayesian InferenceAgriculture, Soil, Plant Science
Cited by 394
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Parameters behind “Nonparametric” Statistics: Kendall's tau, Somers’ D and Median Differences
Newson, R. (2002) · The Stata Journal: Promoting communications on statistics and Stata
Probability and Statistical ResearchMultidisciplinary Science and Engineering Research
Cited by 394
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A Survey of Multidimensional Medians
Small, C. G. (1990) · International Statistical Review / Revue Internationale de Statistique
Advanced Statistical Methods and ModelsStatistical Distribution Estimation and Applications
Cited by 393
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Marginal Mean Models for Dynamic Regimes
Murphy, S. A., van der Laan, M. J., Robins, J. M., & Conduct Problems Prevention Research Group (2001) · Journal of the American Statistical Association
Advanced Causal Inference TechniquesStatistical Methods in Clinical Trials
Cited by 393
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Handbook of Quantile Regression
Chernozhukov, V., Fernández‐Val, I., & Kaji, T. (2017) · Chapman & Hall/CRC eBooks
Advanced Statistical Methods and ModelsStatistical Methods and Inference
Cited by 392
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Fuglede’s conjecture is false in 5 and higher dimensions
Tao, T. (2004) · Mathematical Research Letters
Mathematical Analysis and Transform MethodsSpectral Theory in Mathematical Physics
Cited by 392
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The importance of proving the null
Gallistel, C. R. (2009) · Psychological Review
Statistical Methods and Bayesian InferenceProbability and Statistical Research
Cited by 392
- Verified
Geographic Boundaries as Regression Discontinuities
Keele, L. J., & Titiunik, R. (2015) · Political Analysis
Advanced Causal Inference TechniquesElectoral Systems and Political Participation
Cited by 391
- Verified
A practical guide to counterfactual estimators for causal inference with time-series cross-sectional data.
Liu, L., Wang, Y., & Xu, Y. (2024) · American Journal of Political Science
Advanced Causal Inference TechniquesSpatial and Panel Data Analysis
Cited by 390
- Verified
Researchers Misunderstand Confidence Intervals and Standard Error Bars.
Belia, S., Fidler, F., Williams, J., & Cumming, G. (2005) · Psychological Methods
Statistics Education and MethodologiesData Visualization and Analytics
Cited by 390
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