Most cited mathematics papers
- Verified
A New Criterion for Confounder Selection
VanderWeele, T. J., & Shpitser, I. (2011) · Biometrics
Advanced Causal Inference TechniquesStatistical Methods and Inference
Cited by 434
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Data dredging, bias, or confounding: They can all get you into the BMJ and the Friday papers
Smith, G. D., & Ebrahim, S. (2002) · BMJ
Statistical Methods in EpidemiologyAdvanced Causal Inference Techniques
Cited by 434
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Geometrische Methoden in der Invariantentheorie
Kraft, H. (1984) · Vieweg+Teubner
Advanced Algebra and GeometryAlgebraic Geometry and Number Theory
Cited by 432
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Sample size calculations for pilot randomized trials: a confidence interval approach
Cocks, K., & Torgerson, D. J. (2013) · Journal of Clinical Epidemiology
Statistical Methods in Clinical TrialsStatistical Methods in Epidemiology
Cited by 431
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Socioeconomic status determines COVID-19 incidence and related mortality in Santiago, Chile
Mena, G. E., Martinez, P. P., Mahmud, A. S., Marquet, P. A., Buckee, C. O., & Santillana, M. (2021) · Science
COVID-19 epidemiological studiesPublic Health and Social Inequalities
Cited by 431
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The Real Story Behind Story Problems: Effects of Representations on Quantitative Reasoning
Koedinger, K. R., & Nathan, M. J. (2004) · Journal of the Learning Sciences
Mathematics Education and PedagogyMathematics Education and Teaching Techniques
Cited by 431
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The multivariate L 1 -median and associated data depth
Vardi, Y., & Zhang, C.-H. (2000) · Proceedings of the National Academy of Sciences
Advanced Statistical Methods and ModelsPoint processes and geometric inequalities
Cited by 430
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Methods for sample size determination in cluster randomized trials
Rutterford, C., Copas, A., & Eldridge, S. (2015) · International Journal of Epidemiology
Statistical Methods in Clinical TrialsMeta-analysis and systematic reviews
Cited by 429
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Multiple Imputation of Missing Values: Further Update of Ice, with an Emphasis on Categorical Variables
Royston, P. (2009) · The Stata Journal: Promoting communications on statistics and Stata
Statistical Methods and Bayesian InferenceData Analysis with R
Cited by 428
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New evidence on the finite sample properties of propensity score reweighting and matching estimators
Busso, M., DiNardo, J., & McCrary, J. (2014) · Review of Economics and Statistics
Advanced Causal Inference TechniquesSchool Choice and Performance
Cited by 428
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Statistics in Brief: The Importance of Sample Size in the Planning and Interpretation of Medical Research
Biau, D. J., Kernéis, S., & Porcher, R. (2008) · Clinical Orthopaedics and Related Research
Statistical Methods in EpidemiologyStatistical Methods in Clinical Trials
Cited by 428
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Need for expertise based randomised controlled trials
Devereaux, P. J., Bhandari, M., Clarke, M., Montori, V. M., Cook, D. J., Yusuf, S., Sackett, D. L., Cinà, C. S., Walter, S. D., Haynes, B., et al. (2005) · BMJ
Statistical Methods in Clinical TrialsHealth Policy Implementation Science
Cited by 427
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Pre-Event Trends in the Panel Event-Study Design
Freyaldenhoven, S., Hansen, C., & Shapiro, J. M. (2019) · American Economic Review
Advanced Causal Inference TechniquesSpatial and Panel Data Analysis
Cited by 427
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Site Selection Bias in Program Evaluation *
Allcott, H. (2015) · The Quarterly Journal of Economics
Advanced Causal Inference TechniquesEvaluation and Performance Assessment
Cited by 426
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Robust misinterpretation of confidence intervals
Hoekstra, R., Morey, R. D., Rouder, J. N., & Wagenmakers, E.-J. (2014) · Psychonomic Bulletin & Review
Statistics Education and MethodologiesStatistical Methods and Bayesian Inference
Cited by 425
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A comparison of phenotypic variation and covariation patterns and the role of phylogeny, ecology, and ontogeny during cranial evolution of new world monkeys
Marroig, G., & Cheverud, J. M. (2001) · Evolution
Morphological variations and asymmetryEvolution and Paleontology Studies
Cited by 425
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Survival Bias Associated with Time-to-Treatment Initiation in Drug Effectiveness Evaluation: A Comparison of Methods
Zhou, Z., Rahme, E., Abrahamowicz, M., & Pilote, L. (2005) · American Journal of Epidemiology
Advanced Causal Inference TechniquesStatistical Methods in Epidemiology
Cited by 425
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Selection bias and information bias in clinical research
Tripepi, G., Jager, K. J., Dekker, F. W., & Zoccali, C. (2010) · Nephron Clinical Practice
Statistical Methods in EpidemiologyMeta-analysis and systematic reviews
Cited by 425
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Simplified estimators for the normal distribution when samples are singly censored or truncated
Cohen, A. C. (1959) · Technometrics
Statistical Distribution Estimation and ApplicationsProbability and Statistical Research
Cited by 425
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An empirical comparison of permutation methods for tests of partial regression coefficients in a linear model
Anderson, M. J., & Legendre, P. (1999) · Journal of Statistical Computation and Simulation
Advanced Statistical Methods and ModelsStatistical Methods and Applications
Cited by 425
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Longitudinal Data Analyses Using Linear Mixed Models in SPSS: Concepts, Procedures and Illustrations
Shek, D. T. L., & Ma, C. M. S. (2011) · The Scientific World JOURNAL
Statistical Methods and Bayesian InferenceSpatial and Panel Data Analysis
Cited by 425
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Systematic review of stepped wedge cluster randomized trials shows that design is particularly used to evaluate interventions during routine implementation
Mdege, N. D., Man, M.-S., Taylor (nee Brown), C. A., & Torgerson, D. J. (2011) · Journal of Clinical Epidemiology
Statistical Methods in Clinical TrialsHealth Policy Implementation Science
Cited by 425
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Fractional Fourier transforms and their optical implementation II
Ozaktas, H. M., & Mendlovic, D. (1993) · Journal of the Optical Society of America A
Mathematical Analysis and Transform MethodsAdvanced optical system design
Cited by 424
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Regional policy evaluation: interactive fixed effects and synthetic controls.
Gobillon, L., & Magnac, T. (2016) · Review of Economics and Statistics
Advanced Causal Inference TechniquesSpatial and Panel Data Analysis
Cited by 424
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