Most cited mathematics papers
- Verified
Curvature and injectivity radius estimates for Einstein 4-manifolds
Cheeger, J., & Tian, G. (2005) · Journal of the American Mathematical Society
Geometric Analysis and Curvature FlowsAdvanced Differential Geometry Research
Cited by 72
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Design of Cluster-Randomized Trials of Quality Improvement Interventions Aimed at Medical Care Providers
Glynn, R. J., Brookhart, M. A., Stedman, M., Avorn, J., & Solomon, D. H. (2007) · Medical Care
Statistical Methods in Clinical TrialsHealth Policy Implementation Science
Cited by 72
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Sparse Group Lasso: Consistency and Climate Applications
Chatterjee, S., Steinhaeuser, K., Banerjee, A., Chatterjee, S., & Ganguly, A. (2012) · Proceedings of the 2012 SIAM International Conference on Data Mining
Statistical Methods and InferenceSpatial and Panel Data Analysis
Cited by 72
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COVID-19 fatality rates related to social inequality in Northeast Brazil: a neighbourhood-level analysis.
Martins-Filho, P. R., de Souza Araújo, A. A., Quintans-Júnior, L. J., & Santos, V. S. (2020) · Journal of Travel Medicine
COVID-19 epidemiological studiesPublic Health and Social Inequalities
Cited by 72
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On the global evolution problem in 2 + 1 gravity
Anderson, L., Moncrief, V., & Tromba, A. J. (1997) · Journal of Geometry and Physics
Geometric Analysis and Curvature FlowsAdvanced Differential Geometry Research
Cited by 72
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Implications of Recent Research: Curriculum-Based Measurement of Math Computation
Christ, T. J., Scullin, S., Tolbize, A., & Jiban, C. L. (2008) · Assessment for Effective Intervention
Cognitive and developmental aspects of mathematical skillsBehavioral and Psychological Studies
Cited by 72
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Sources of Identifying Information in Evaluation Models
Angrist, J., & Imbens, G. (1991) · National Bureau of Economic Research
Advanced Causal Inference TechniquesEvaluation and Performance Assessment
Cited by 72
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Predictors of mathematics in primary school: magnitude comparison, verbal and spatial working memory measures
Caviola, S., Colling, L. J., Mammarella, I. C., & Szűcs, D. (2020) · Developmental Science
Cognitive and developmental aspects of mathematical skillsCognitive Abilities and Testing
Cited by 72
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Quantifying the lifetime circadian rhythm of physical activity: a covariate-dependent functional approach
Xiao, L., Huang, L., Schrack, J. A., Ferrucci, L., Zipunnikov, V., & Crainiceanu, C. M. (2015) · Biostatistics
Advanced Statistical Methods and ModelsPhysical Activity and Health
Cited by 71
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Causal discovery in social media using quasi-experimental designs
Oktay, H., Taylor, B. J., & Jensen, D. D. (2010) · Proceedings of the First Workshop on Social Media Analytics
Advanced Causal Inference TechniquesBayesian Modeling and Causal Inference
Cited by 71
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Principles of Statistics
Riemann, B. L., & Lininger, M. R. (2018) · Clinics in Sports Medicine
Statistical Methods in EpidemiologyMeta-analysis and systematic reviews
Cited by 71
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The effects of model selection on confidence intervals for the size of a closed population
Regal, R. R., & Hook, E. B. (1991) · Statistics in Medicine
Census and Population EstimationStatistical Methods in Epidemiology
Cited by 71
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Extending multivariate distance matrix regression with an effect size measure and the asymptotic null distribution of the test statistic
McArtor, D. B., Lubke, G. H., & Bergeman, C. S. (2017) · Psychometrika
Statistical Methods and ApplicationsPsychometric Methodologies and Testing
Cited by 71
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Calibrating machine learning approaches for probability estimation: A comprehensive comparison
Ojeda, F. M., Jansen, M. L., Thiéry, A., Blankenberg, S., Weimar, C., Schmid, M., & Ziegler, A. (2023) · Statistics in Medicine
Statistical Methods in EpidemiologyImbalanced Data Classification Techniques
Cited by 71
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Knot tightening by constrained gradient descent
Ashton, T., Cantarella, J., Piatek, M., & Rawdon, E. J. (2011) · Experimental Mathematics
Geometric and Algebraic TopologyGeometric Analysis and Curvature Flows
Cited by 71
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The challenging interpretation of instrumental variable estimates under monotonicity
Swanson, S. A., & Hernán, M. A. (2018) · International Journal of Epidemiology
Advanced Causal Inference TechniquesStatistical Methods in Epidemiology
Cited by 71
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The relationship among geometry, working memory, and intelligence in children
Giofrè, D., Mammarella, I. C., & Cornoldi, C. (2014) · Journal of Experimental Child Psychology
Cognitive and developmental aspects of mathematical skillsCognitive Abilities and Testing
Cited by 70
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A population birth-and-mutation process, I: explicit distributions for the number of mutants in an old culture of bacteria.
Mandelbrot, B. (1974) · Journal of Applied Probability
Stochastic processes and statistical mechanicsEvolution and Genetic Dynamics
Cited by 70
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Group Comparability: A Multiattribute Utility Measurement Approach to the Use of Random Assignment with Small Numbers of Aggregated Units
Graham, J. W., Flay, B. R., Anderson Johnson, C., Hansen, W. B., & Collins, L. M. (1984) · Evaluation Review
Advanced Causal Inference TechniquesOptimal Experimental Design Methods
Cited by 70
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A comparative analysis of massed vs. distributed practice on basic math fact fluency growth rates
Schutte, G. M., Duhon, G. J., Solomon, B. G., Poncy, B. C., Moore, K., & Story, B. (2015) · Journal of School Psychology
Cognitive and developmental aspects of mathematical skillsBehavioral and Psychological Studies
Cited by 70
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Use of reclassification for assessment of improved prediction: an empirical evaluation
Tzoulaki, I., Liberopoulos, G., & Ioannidis, J. P. A. (2011) · International Journal of Epidemiology
Statistical Methods in EpidemiologyMeta-analysis and systematic reviews
Cited by 70
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Two-Way Fixed Effects and Differences-in-Differences with Heterogeneous Treatment Effects: A Survey
de Chaisemartin, C., & D'Haultfoeuille, X. (2022) · National Bureau of Economic Research
Advanced Causal Inference TechniquesSpatial and Panel Data Analysis
Cited by 70
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The harm done by tests of significance
Hauer, E. (2004) · Accident Analysis & Prevention
Statistical Methods in EpidemiologyStatistical Methods and Bayesian Inference
Cited by 70
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High-throughput target trial emulation for Alzheimer’s disease drug repurposing with real-world data
Zang, C., Zhang, H., Xu, J., Zhang, H., Fouladvand, S., Havaldar, S., Cheng, F., Chen, K., Chen, Y., Glicksberg, B. S., et al. (2023) · Nature Communications
Advanced Causal Inference TechniquesAlzheimer's disease research and treatments
Cited by 69
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