Check mathematics papers: citations, claims and retractions

Toward a Clearer Definition of Confounding

Weinberg, C. R. (1993) · American Journal of Epidemiology

Advanced Causal Inference TechniquesStatistical Methods in Epidemiology

Cited by 401

Clinical research for rare disease: Opportunities, challenges, and solutions

Griggs, R. C., Batshaw, M., Dunkle, M., Gopal-Srivastava, R., Kaye, E., Krischer, J., Nguyen, T., Paulus, K., & Merkel, P. A. (2009) · Molecular Genetics and Metabolism

Statistical Methods in Clinical TrialsGenomics and Rare Diseases

Cited by 401

A K -fold averaging cross-validation procedure

Jung, Y., & Hu, J. (2015) · Journal of Nonparametric Statistics

Statistical Methods and InferenceStatistical Methods and Applications

Cited by 401

Herding dynamical weights to learn

Welling, M. (2009) · Proceedings of the 26th Annual International Conference on Machine Learning

Markov Chains and Monte Carlo MethodsGaussian Processes and Bayesian Inference

Cited by 401

Minimum sample size for external validation of a clinical prediction model with a binary outcome

Riley, R. D., Debray, T. P. A., Collins, G. S., Archer, L., Ensor, J., van Smeden, M., & Snell, K. I. E. (2021) · Statistics in Medicine

Statistical Methods in EpidemiologyStatistical Methods in Clinical Trials

Cited by 400

Handling missing data in clinical research

Heymans, M. W., & Twisk, J. W. R. (2022) · Journal of Clinical Epidemiology

Statistical Methods and Bayesian InferenceStatistical Methods in Clinical Trials

Cited by 399

GLIMMPSE : Online Power Computation for Linear Models with and without a Baseline Covariate

Kreidler, S. M., Muller, K. E., Grunwald, G. K., Ringham, B. M., Coker-Dukowitz, Z., Sakhadeo, U. R., Baron, A. E., & Glueck, D. H. (2013) · Journal of Statistical Software

Statistical Methods in Clinical TrialsStatistical Methods in Epidemiology

Cited by 399

ACCOUNTING FOR DROPOUT BIAS USING MIXED-EFFECTS MODELS

Mallinckrodt, C. H., Clark, W. S., & David, S. R. (2001) · Journal of Biopharmaceutical Statistics

Statistical Methods and Bayesian InferenceStatistical Methods in Clinical Trials

Cited by 398

Statistical learning and selective inference

Taylor, J., & Tibshirani, R. J. (2015) · Proceedings of the National Academy of Sciences

Statistical Methods and InferenceStatistical Methods and Applications

Cited by 398

Dealing With Missing Outcome Data in Randomized Trials and Observational Studies

Groenwold, R. H. H., Donders, A. R. T., Roes, K. C. B., Harrell, F. E., & Moons, K. G. M. (2012) · American Journal of Epidemiology

Statistical Methods and Bayesian InferenceAdvanced Causal Inference Techniques

Cited by 398

Making children gesture brings out implicit knowledge and leads to learning

Broaders, S. C., Cook, S. W., Mitchell, Z., & Goldin-Meadow, S. (2007) · Journal of Experimental Psychology: General

Cognitive and developmental aspects of mathematical skillsVisual and Cognitive Learning Processes

Cited by 397

Direct simulation scheme derived from the Boltzmann equation. I. Monocomponent gases

Nanbu, K. (1980) · Journal of the Physical Society of Japan

Gas Dynamics and Kinetic TheoryAdvanced Physical and Chemical Molecular Interactions

Cited by 397

Human cranial anatomy and the differential preservation of population history and climate signatures

Harvati, K., & Weaver, T. D. (2006) · The Anatomical Record Part A: Discoveries in Molecular, Cellular, and Evolutionary Biology

Morphological variations and asymmetryForensic Anthropology and Bioarchaeology Studies

Cited by 396

Learning Representations for Counterfactual Inference

Johansson, F. D., Shalit, U., & Sontag, D. (2016) · arXiv

Advanced Causal Inference TechniquesMachine Learning in Healthcare

Cited by 396

Epidemiological data from the COVID-19 outbreak, real-time case information

Xu, B., Gutierrez, B., Mekaru, S., Sewalk, K., Goodwin, L., Loskill, A., Cohn, E. L., Hswen, Y., Hill, S. C., Cobo, M. M., et al. (2020) · Scientific Data

COVID-19 epidemiological studiesData-Driven Disease Surveillance

Cited by 396

Handling missing data in RCTs; a review of the top medical journals

Bell, M. L., Fiero, M., Horton, N. J., & Hsu, C.-H. (2014) · BMC Medical Research Methodology

Statistical Methods in Clinical TrialsMeta-analysis and systematic reviews

Cited by 395

Challenges in the design and interpretation of Noninferiority trials

Mauri, L., & D’Agostino, R. B. (2017) · New England Journal of Medicine

Statistical Methods in Clinical TrialsPharmaceutical studies and practices

Cited by 395

Nested by design: model fitting and interpretation in a mixed model era

Schielzeth, H., & Nakagawa, S. (2013) · Methods in Ecology and Evolution

Statistical Methods and Bayesian InferenceAgriculture, Soil, Plant Science

Cited by 394

Parameters behind “Nonparametric” Statistics: Kendall's tau, Somers’ D and Median Differences

Newson, R. (2002) · The Stata Journal: Promoting communications on statistics and Stata

Probability and Statistical ResearchMultidisciplinary Science and Engineering Research

Cited by 394

Marginal Mean Models for Dynamic Regimes

Murphy, S. A., van der Laan, M. J., Robins, J. M., & Conduct Problems Prevention Research Group (2001) · Journal of the American Statistical Association

Advanced Causal Inference TechniquesStatistical Methods in Clinical Trials

Cited by 393

Handbook of Quantile Regression

Chernozhukov, V., Fernández‐Val, I., & Kaji, T. (2017) · Chapman & Hall/CRC eBooks

Advanced Statistical Methods and ModelsStatistical Methods and Inference

Cited by 392

Fuglede’s conjecture is false in 5 and higher dimensions

Tao, T. (2004) · Mathematical Research Letters

Mathematical Analysis and Transform MethodsSpectral Theory in Mathematical Physics

Cited by 392

The importance of proving the null

Gallistel, C. R. (2009) · Psychological Review

Statistical Methods and Bayesian InferenceProbability and Statistical Research

Cited by 392

Evolutionary Morphing

Wiley, D. F., Amenta, N., Alcantara, D. A., Ghosh, D., Kil, Y. J., Delson, E., Harcourt-Smith, W., Rohlf, F. J., St. John, K., & Hamann, B. (2006) · VIS 05. IEEE Visualization, 2005.

Morphological variations and asymmetry3D Shape Modeling and Analysis

Cited by 391