Most cited mathematics papers
- Verified
Considering Usual Medical Care in Clinical Trial Design
Dawson, L., Zarin, D. A., Emanuel, E. J., Friedman, L. M., Chaudhari, B., & Goodman, S. N. (2009) · PLoS Medicine
Statistical Methods in Clinical TrialsHealth Systems, Economic Evaluations, Quality of Life
Cited by 93
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Misprescription and misuse of one-tailed tests
LOMBARDI, C. M., & HURLBERT, S. H. (2009) · Austral Ecology
Statistics Education and MethodologiesProbability and Statistical Research
Cited by 93
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Strategy Instruction in Mathematics
Goldman, S. R. (1989) · Learning Disability Quarterly
Mathematics Education and PedagogyCognitive and developmental aspects of mathematical skills
Cited by 92
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Bringing the analysis of animal orientation data full circle: model-based approaches with maximum likelihood
Fitak, R. R., & Johnsen, S. (2017) · Journal of Experimental Biology
Statistical Distribution Estimation and ApplicationsData Analysis with R
Cited by 92
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External validation of prognostic models for critically ill patients required substantial sample sizes
Peek, N., Arts, D. G. T., Bosman, R. J., van der Voort, P. H. J., & de Keizer, N. F. (2007) · Journal of Clinical Epidemiology
Statistical Methods in EpidemiologySepsis Diagnosis and Treatment
Cited by 92
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Classical 6j-symbols and the tetrahedron
Roberts, J. (1999) · Geometry & Topology
Geometric and Algebraic TopologyNoncommutative and Quantum Gravity Theories
Cited by 92
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Sample size formulae for trials comparing group and individual treatments in a multilevel model
Moerbeek, M., & Wong, W. K. (2008) · Statistics in Medicine
Statistical Methods in Clinical TrialsStatistical Methods and Bayesian Inference
Cited by 92
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Rapidly mixing Markov chains with applications in computer science and physics
Randall, D. (2006) · Computing in Science & Engineering
Markov Chains and Monte Carlo MethodsProbability and Statistical Research
Cited by 92
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Organs on chip approach: a tool to evaluate cancer -immune cells interactions
Biselli, E., Agliari, E., Barra, A., Bertani, F. R., Gerardino, A., De Ninno, A., Mencattini, A., Di Giuseppe, D., Mattei, F., Schiavoni, G., et al. (2017) · Scientific Reports
Mathematical Biology Tumor Growth3D Printing in Biomedical Research
Cited by 91
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The relative efficacy of functional and developmental cranial modules for reconstructing global human population history
von Cramon‐Taubadel, N. (2011) · American Journal of Physical Anthropology
Morphological variations and asymmetryForensic Anthropology and Bioarchaeology Studies
Cited by 91
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Cancer-driven dynamics of immune cells in a microfluidic environment
Agliari, E., Biselli, E., De Ninno, A., Schiavoni, G., Gabriele, L., Gerardino, A., Mattei, F., Barra, A., & Businaro, L. (2014) · Scientific Reports
Mathematical Biology Tumor GrowthCellular Mechanics and Interactions
Cited by 91
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Robust Models in Probability Sampling
Firth, D., & Bennett, K. E. (1998) · Journal of the Royal Statistical Society Series B: Statistical Methodology
Survey Sampling and Estimation TechniquesCensus and Population Estimation
Cited by 91
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Weil-Petersson volume of moduli spaces, Mirzakhani's recursion and matrix models
Eynard, B., & Orantin, N. (2007) · arXiv
Geometric and Algebraic TopologyRandom Matrices and Applications
Cited by 91
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Regression Estimation after Correcting for Attenuation
Fuller, W. A., & Hidiroglou, M. A. (1978) · Journal of the American Statistical Association
Advanced Statistical Methods and ModelsStatistical Methods and Applications
Cited by 90
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Direct and indirect mortality impacts of the COVID-19 pandemic in the United States, March 1, 2020 to January 1, 2022
Lee, W.-E., Woo Park, S., Weinberger, D. M., Olson, D., Simonsen, L., Grenfell, B. T., & Viboud, C. (2023) · eLife
COVID-19 epidemiological studiesCOVID-19 and healthcare impacts
Cited by 90
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A randomized controlled trial of interleaved mathematics practice
Rohrer, D., Dedrick, R. F., Hartwig, M. K., & Cheung, C.-N. (2020) · Journal of Educational Psychology
Mathematics Education and PedagogyVisual and Cognitive Learning Processes
Cited by 90
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An analysis of Berkson's bias in case-control studies
Feinstein, A. R., Walter, S. D., & Horwitz, R. I. (1986) · Journal of Chronic Diseases
Statistical Methods in EpidemiologyAdvanced Causal Inference Techniques
Cited by 90
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Clustered data with small sample sizes: Comparing the performance of model-based and design-based approaches
McNeish, D. M., & Harring, J. R. (2017) · Communications in Statistics - Simulation and Computation
Statistical Methods and Bayesian InferenceSurvey Sampling and Estimation Techniques
Cited by 90
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Assessing local model adequacy in Bayesian hierarchical models using the partitioned deviance information criterion
Wheeler, D. C., Hickson, D. A., & Waller, L. A. (2010) · Computational Statistics & Data Analysis
Statistical Methods and Bayesian InferenceSpatial and Panel Data Analysis
Cited by 90
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Nodal length fluctuations for arithmetic random waves
Krishnapur, M., Kurlberg, P., & Wigman, I. (2013) · Annals of Mathematics
Analytic Number Theory ResearchSpectral Theory in Mathematical Physics
Cited by 89
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Multiplicity of fractional Fourier transforms and their relationships
Cariolaro, G., Erseghe, T., Kraniauskas, P., & Laurenti, N. (2000) · IEEE Transactions on Signal Processing
Mathematical Analysis and Transform MethodsDigital Filter Design and Implementation
Cited by 89
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Choosing priors in Bayesian ecological models by simulating from the prior predictive distribution
Wesner, J. S., & Pomeranz, J. P. F. (2021) · Ecosphere
Statistical Methods and Bayesian InferenceMarkov Chains and Monte Carlo Methods
Cited by 89
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Sur quelques variétés riemanniennes suffisamment pincées
Berger, M. (1960) · Bulletin de la Société mathématique de France
Geometric Analysis and Curvature FlowsAdvanced Differential Geometry Research
Cited by 89
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did2s: Two-Stage Difference-in-Differences
Butts, K., & Gardner, J. (2022) · The R Journal
Advanced Causal Inference Techniques
Cited by 89
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