Most cited mathematics papers
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Coronavirus disease 2019 case surveillance—United States, January 22–May 30, 2020.
Stokes, E. K., Zambrano, L. D., Anderson, K. N., Marder, E. P., Raz, K. M., El Burai Felix, S., Tie, Y., & Fullerton, K. E. (2020) · MMWR Morbidity and Mortality Weekly Report
COVID-19 epidemiological studiesCOVID-19 Clinical Research Studies
Cited by 1,538
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Unpacking the Black Box of Causality: Learning about Causal Mechanisms from Experimental and Observational Studies
IMAI, K., KEELE, L., TINGLEY, D., & YAMAMOTO, T. (2011) · American Political Science Review
Advanced Causal Inference TechniquesQualitative Comparative Analysis Research
Cited by 1,537
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On the C‐statistics for evaluating overall adequacy of risk prediction procedures with censored survival data
Uno, H., Cai, T., Pencina, M. J., D'Agostino, R. B., & Wei, L. J. (2011) · Statistics in Medicine
Statistical Methods and InferenceStatistical Methods in Epidemiology
Cited by 1,535
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Principles of confounder selection
VanderWeele, T. J. (2019) · European Journal of Epidemiology
Advanced Causal Inference TechniquesStatistical Methods in Epidemiology
Cited by 1,535
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Variance Inflation Factor: As a Condition for the Inclusion of Suppressor Variable(s) in Regression Analysis
Akinwande, M. O., Dikko, H. G., & Samson, A. (2015) · Open Journal of Statistics
Advanced Statistical Methods and ModelsStatistical Methods and Applications
Cited by 1,534
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Mobility network models of COVID-19 explain inequities and inform reopening
Chang, S., Pierson, E., Koh, P. W., Gerardin, J., Redbird, B., Grusky, D., & Leskovec, J. (2021) · Nature
COVID-19 epidemiological studiesMathematical and Theoretical Epidemiology and Ecology Models
Cited by 1,533
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A New Framework and Software to Estimate Time-Varying Reproduction Numbers During Epidemics
Cori, A., Ferguson, N. M., Fraser, C., & Cauchemez, S. (2013) · American Journal of Epidemiology
COVID-19 epidemiological studiesMathematical and Theoretical Epidemiology and Ecology Models
Cited by 1,530
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Bayesian estimation supersedes the t-test
Kruschke, J. K. (2013) · Journal of Experimental Psychology: General
Statistical Methods and Bayesian InferenceStatistical Distribution Estimation and Applications
Cited by 1,530
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Move Over ANOVA: Progress in Analyzing Repeated-Measures Data andIts Reflection in Papers Published in the Archives of General Psychiatry
Gueorguieva, R., & Krystal, J. H. (2004) · Archives of General Psychiatry
Statistical Methods and Bayesian InferenceStatistical Methods in Clinical Trials
Cited by 1,529
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Modeling the Drop-Out Mechanism in Repeated-Measures Studies
Little, R. J. A. (1995) · Journal of the American Statistical Association
Statistical Methods and Bayesian InferenceStatistical Methods in Clinical Trials
Cited by 1,522
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Synthetic Difference-in-Differences
Arkhangelsky, D., Athey, S., Hirshberg, D. A., Imbens, G. W., & Wager, S. (2021) · American Economic Review
Advanced Causal Inference TechniquesSpatial and Panel Data Analysis
Cited by 1,518
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Multiple Imputation for Multivariate Missing-Data Problems: A Data Analyst's Perspective
Schafer, J. L., & Olsen, M. K. (1998) · Multivariate Behavioral Research
Statistical Methods and Bayesian InferenceStatistical Methods and Applications
Cited by 1,518
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Prognosis Research Strategy (PROGRESS) 3: Prognostic Model Research
Steyerberg, E. W., Moons, K. G. M., van der Windt, D. A., Hayden, J. A., Perel, P., Schroter, S., Riley, R. D., Hemingway, H., Altman, D. G., & for the PROGRESS Group (2013) · PLoS Medicine
Statistical Methods in EpidemiologyMeta-analysis and systematic reviews
Cited by 1,508
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Probing interactions in fixed and multilevel regression: Inferential and graphical techniques
Bauer, D. J., & Curran, P. J. (2005) · Multivariate Behavioral Research
Statistical Methods and Bayesian InferenceStatistical Methods and Applications
Cited by 1,506
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Executive Functioning as a Predictor of Children's Mathematics Ability: Inhibition, Switching, and Working Memory
Bull, R., & Scerif, G. (2001) · Developmental Neuropsychology
Cognitive and developmental aspects of mathematical skillsDevelopmental and Educational Neuropsychology
Cited by 1,501
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Calculating measures of biological interaction
Andersson, T., Alfredsson, L., Källberg, H., Zdravkovic, S., & Ahlbom, A. (2005) · European Journal of Epidemiology
Statistical Methods in EpidemiologyAdvanced Causal Inference Techniques
Cited by 1,498
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Approximate Bayesian computation scheme for parameter inference and model selection in dynamical systems
Toni, T., Welch, D., Strelkowa, N., Ipsen, A., & Stumpf, M. P. H. (2009) · Journal of The Royal Society Interface
Markov Chains and Monte Carlo MethodsMathematical and Theoretical Epidemiology and Ecology Models
Cited by 1,498
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Longitudinal Research: The Theory, Design, and Analysis of Change
Ployhart, R. E., & Vandenberg, R. J. (2010) · Journal of Management
Statistical Methods and Bayesian InferenceBusiness Strategies and Management Research
Cited by 1,496
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4. Regression with Missing Ys: An Improved Strategy for Analyzing Multiply Imputed Data
von Hippel, P. T. (2007) · Sociological Methodology
Statistical Methods and Bayesian InferenceAdvanced Causal Inference Techniques
Cited by 1,495
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On the Structure of Hopf Algebras
Milnor, J. W., & Moore, J. C. (1965) · The Annals of Mathematics
Advanced Topics in AlgebraGeometric and Algebraic Topology
Cited by 1,489
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Using Synthetic Controls: Feasibility, Data Requirements, and Methodological Aspects
Abadie, A. (2021) · Journal of Economic Literature
Advanced Causal Inference TechniquesSpatial and Panel Data Analysis
Cited by 1,486
- Verified
bayestestR: Describing Effects and their Uncertainty, Existence and Significance within the Bayesian Framework
Makowski, D., Ben-Shachar, M., & Lüdecke, D. (2019) · Journal of Open Source Software
Statistical Methods and Bayesian InferenceData Analysis with R
Cited by 1,483
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Receiver-operating characteristic analysis for evaluating diagnostic tests and predictive models
Zou, K. H., O’Malley, A. J., & Mauri, L. (2007) · Circulation
Statistical Methods in EpidemiologyImbalanced Data Classification Techniques
Cited by 1,473
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Riemann manifold langevin and hamiltonian monte carlo methods
Girolami, M., & Calderhead, B. (2011) · Journal of the Royal Statistical Society Series B: Statistical Methodology
Markov Chains and Monte Carlo MethodsGaussian Processes and Bayesian Inference
Cited by 1,473
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