Most cited mathematics papers
- Verified
Convolution, filtering, and multiplexing in fractional Fourier domains and their relation to chirp and wavelet transforms
Ozaktas, H. M., Mendlovic, D., Onural, L., & Barshan, B. (1994) · Journal of the Optical Society of America A
Mathematical Analysis and Transform MethodsDigital Filter Design and Implementation
Cited by 483
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An introduction to Bayesian inference for ecological research and environmental decision-making
Ellison, A. M. (1996) · Ecological Applications
Statistical Methods and Bayesian InferenceStatistical Distribution Estimation and Applications
Cited by 482
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Adaptive design methods in clinical trials–a review
Chow, S.-C., & Chang, M. (2008) · Orphanet Journal of Rare Diseases
Statistical Methods in Clinical TrialsPharmaceutical studies and practices
Cited by 482
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A NOTE ON NORMAL CORRELATION
PITMAN, E. J. G. (1939) · Biometrika
Probability and Statistical ResearchStatistical Distribution Estimation and Applications
Cited by 480
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Bayesian Multilevel Estimation with Poststratification: State-Level Estimates from National Polls
Park, D. K., Gelman, A., & Bafumi, J. (2004) · Political Analysis
Survey Sampling and Estimation TechniquesElectoral Systems and Political Participation
Cited by 480
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Can Nonrandomized Experiments Yield Accurate Answers? A Randomized Experiment Comparing Random and Nonrandom Assignments
Shadish, W. R., Clark, M. H., & Steiner, P. M. (2008) · Journal of the American Statistical Association
Advanced Causal Inference TechniquesOptimal Experimental Design Methods
Cited by 479
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Imputation of missing longitudinal data: a comparison of methods
Engels, J. (2003) · Journal of Clinical Epidemiology
Statistical Methods and Bayesian InferenceStatistical Methods in Epidemiology
Cited by 478
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Pandemic preparedness and COVID-19: an exploratory analysis of infection and fatality rates, and contextual factors associated with preparedness in 177 countries, from Jan 1, 2020, to Sept 30, 2021
Bollyky, T. J., Hulland, E. N., Barber, R. M., Collins, J. K., Kiernan, S., Moses, M., Pigott, D. M., Reiner Jr, R. C., Sorensen, R. J. D., Abbafati, C., et al. (2022) · The Lancet
COVID-19 epidemiological studiesSARS-CoV-2 and COVID-19 Research
Cited by 477
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Default Bayes Factors for Model Selection in Regression
Rouder, J. N., & Morey, R. D. (2012) · Multivariate Behavioral Research
Statistical Methods and Bayesian InferenceStatistical Methods and Inference
Cited by 477
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Number sense across the lifespan as revealed by a massive Internet-based sample
Halberda, J., Ly, R., Wilmer, J. B., Naiman, D. Q., & Germine, L. (2012) · Proceedings of the National Academy of Sciences
Cognitive and developmental aspects of mathematical skillsCognitive Abilities and Testing
Cited by 477
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Estimating sample sizes for binary, ordered categorical, and continuous outcomes in two group comparisons
Campbell, M. J., Julious, S. A., & Altman, D. G. (1995) · BMJ
Statistical Methods in Clinical TrialsStatistical Methods in Epidemiology
Cited by 476
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Special topics in statistics
Higgins, J. P., Deeks, J. J., & Altman, D. G. (2008) · Cochrane Handbook for Systematic Reviews of Interventions
Statistical Methods in Clinical TrialsMeta-analysis and systematic reviews
Cited by 475
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Cross-Sectional Analysis of Longitudinal Mediation Processes
O'Laughlin, K. D., Martin, M. J., & Ferrer, E. (2018) · Multivariate Behavioral Research
Advanced Causal Inference TechniquesStatistical Methods and Bayesian Inference
Cited by 475
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Approximate Bayesian Inference in Conditionally Independent Hierarchical Models (Parametric Empirical Bayes Models)
Kass, R. E., & Steffey, D. (1989) · Journal of the American Statistical Association
Statistical Methods and Bayesian InferenceMarkov Chains and Monte Carlo Methods
Cited by 474
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400: A Method for Combining Non-Independent, One-Sided Tests of Significance
Brown, M. B. (1975) · Biometrics
Probability and Statistical ResearchStatistical Methods and Applications
Cited by 473
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Post Hoc Power Analysis: An Idea Whose Time Has Passed?
Levine, M., & Ensom, M. H. H. (2001) · Pharmacotherapy: The Journal of Human Pharmacology and Drug Therapy
Statistical Methods in Clinical TrialsStatistical Methods in Epidemiology
Cited by 473
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Two Guidelines for Bootstrap Hypothesis Testing
Hall, P., & Wilson, S. R. (1991) · Biometrics
Statistical Methods and InferenceProbability and Statistical Research
Cited by 471
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The importance of number sense to mathematics achievement in first and third grades
Jordan, N. C., Glutting, J., & Ramineni, C. (2010) · Learning and Individual Differences
Cognitive and developmental aspects of mathematical skillsMathematics Education and Pedagogy
Cited by 471
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Comparison of performance of data imputation methods for numeric dataset
Jadhav, A., Pramod, D., & Ramanathan, K. (2019) · Applied Artificial Intelligence
Statistical Methods and Bayesian InferenceData Mining and Machine Learning Applications
Cited by 471
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Performance of the Modified Poisson Regression Approach for Estimating Relative Risks From Clustered Prospective Data
Yelland, L. N., Salter, A. B., & Ryan, P. (2011) · American Journal of Epidemiology
Statistical Methods in EpidemiologyStatistical Methods and Bayesian Inference
Cited by 470
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The Predictive Approaches to Treatment effect Heterogeneity (PATH) statement
Kent, D. M., Paulus, J. K., van Klaveren, D., D'Agostino, R., Goodman, S., Hayward, R., Ioannidis, J. P. A., Patrick-Lake, B., Morton, S., Pencina, M., et al. (2020) · Annals of Internal Medicine
Statistical Methods in Clinical TrialsAdvanced Causal Inference Techniques
Cited by 469
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Interpreting and Understanding Logits, Probits, and Other Nonlinear Probability Models
Breen, R., Karlson, K. B., & Holm, A. (2018) · Annual Review of Sociology
Statistical Methods and Bayesian InferenceAdvanced Causal Inference Techniques
Cited by 468
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What Do Randomized Studies of Housing Mobility Demonstrate?: Causal Inference in the Face of Interference
Sobel, M. E. (2006) · Journal of the American Statistical Association
Advanced Causal Inference TechniquesUrban, Neighborhood, and Segregation Studies
Cited by 468
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Excess deaths associated with covid-19 pandemic in 2020: age and sex disaggregated time series analysis in 29 high income countries
Islam, N., Shkolnikov, V. M., Acosta, R. J., Klimkin, I., Kawachi, I., Irizarry, R. A., Alicandro, G., Khunti, K., Yates, T., Jdanov, D. A., et al. (2021) · BMJ
COVID-19 epidemiological studiesCOVID-19 and healthcare impacts
Cited by 468
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