Check mathematics papers: citations, claims and retractions

Biases in Randomized Trials: A Conversation Between Trialists and Epidemiologists

Mansournia, M. A., Higgins, J. P. T., Sterne, J. A. C., & Hernán, M. A. (2017) · Epidemiology

Advanced Causal Inference TechniquesMeta-analysis and systematic reviews

Cited by 285

Intention to treat and per protocol analysis in clinical trials

Tripepi, G., Chesnaye, N. C., Dekker, F. W., Zoccali, C., & Jager, K. J. (2020) · Nephrology

Statistical Methods in Clinical TrialsAdvanced Causal Inference Techniques

Cited by 284

A tutorial on Bayes Factor Design Analysis using an informed prior

Stefan, A. M., Gronau, Q. F., Schönbrodt, F. D., & Wagenmakers, E.-J. (2019) · Behavior Research Methods

Statistical Methods and Bayesian InferenceStatistical Methods in Clinical Trials

Cited by 284

On the Curvatura Integra in a Riemannian Manifold

Chern, S.-S. (1945) · The Annals of Mathematics

Advanced Differential Geometry ResearchGeometric Analysis and Curvature Flows

Cited by 284

A tutorial on bridge sampling

Gronau, Q. F., Sarafoglou, A., Matzke, D., Ly, A., Boehm, U., Marsman, M., Leslie, D. S., Forster, J. J., Wagenmakers, E.-J., & Steingroever, H. (2017) · Journal of Mathematical Psychology

Markov Chains and Monte Carlo MethodsStatistical Methods and Bayesian Inference

Cited by 284

Can China's COVID-19 strategy work elsewhere?

Kupferschmidt, K., & Cohen, J. (2020) · Science

COVID-19 epidemiological studiesCOVID-19 Prevention and Impact

Cited by 283

Bayesian parameter inference for stochastic biochemical network models using particle Markov chain Monte Carlo

Golightly, A., & Wilkinson, D. J. (2011) · Interface Focus

Markov Chains and Monte Carlo MethodsGene Regulatory Network Analysis

Cited by 282

Probability, Convexity, and Harmonic Maps with Small Image I: Uniqueness and Fine Existence

Kendall, W. S. (1990) · Proceedings of the London Mathematical Society

Geometric Analysis and Curvature FlowsNonlinear Partial Differential Equations

Cited by 281

An application of the Morse theory to the topology of Lie-groups

Bott, R. (1956) · Bulletin de la Société mathématique de France

Homotopy and Cohomology in Algebraic TopologyGeometric and Algebraic Topology

Cited by 280

Guidance for using pilot studies to inform the design of intervention trials with continuous outcomes

Bell, M. L., Whitehead, A. L., & Julious, S. A. (2018) · Clinical Epidemiology

Statistical Methods in Clinical TrialsStatistical Methods in Epidemiology

Cited by 280

Tests for interaction in epidemiologic studies: A review and a study of power

Greenland, S. (1983) · Statistics in Medicine

Statistical Methods in EpidemiologyAdvanced Causal Inference Techniques

Cited by 280

Teaching about Approximate Confidence Regions Based on Maximum Likelihood Estimation

Meeker, W. Q., & Escobar, L. A. (1995) · The American Statistician

Statistics Education and MethodologiesProbability and Statistical Research

Cited by 279

The use and interpretation of the Friedman test in the analysis of ordinal‐scale data in repeated measures designs

Sheldon, M. R., Fillyaw, M. J., & Thompson, W. D. (1996) · Physiotherapy Research International

Probability and Statistical ResearchReliability and Agreement in Measurement

Cited by 279

Strategies to improve retention in randomised trials

Brueton, V. C., Tierney, J., Stenning, S., Harding, S., Meredith, S., Nazareth, I., & Rait, G. (2013) · Cochrane Database of Systematic Reviews

Statistical Methods in Clinical TrialsMeta-analysis and systematic reviews

Cited by 279

Improving inferences about null effects with Bayes factors and equivalence tests.

Lakens, D., McLatchie, N., Isager, P. M., Scheel, A. M., & Dienes, Z. (2020) · The Journals of Gerontology: Series B

Statistical Methods and Bayesian InferenceStatistical Methods in Clinical Trials

Cited by 279

Significance Tests Die Hard: The Amazing Persistence of a Probabilistic Misconception

Falk, R., & Greenbaum, C. W. (1995) · Theory & Psychology

Statistical Methods and Bayesian InferenceStatistics Education and Methodologies

Cited by 279

Responder analysis for pain relief and numbers needed to treat in a meta-analysis of etoricoxib osteoarthritis trials: bridging a gap between clinical trials and clinical practice

Moore, R. A., Moore, O. A., Derry, S., Peloso, P. M., Gammaitoni, A. R., & Wang, H. (2010) · Annals of the Rheumatic Diseases

Statistical Methods in Clinical TrialsMeta-analysis and systematic reviews

Cited by 279

DNA-Based Storage: Trends and Methods

Yazdi, S. M. H. T., Kiah, H. M., Garcia-Ruiz, E., Ma, J., Zhao, H., & Milenkovic, O. (2015) · IEEE Transactions on Molecular, Biological and Multi-Scale Communications

DNA and Biological ComputingAlgorithms and Data Compression

Cited by 278

Who Should Be Treated? Empirical Welfare Maximization Methods for Treatment Choice

Kitagawa, T., & Tetenov, A. (2018) · Econometrica

Advanced Causal Inference TechniquesEvaluation and Performance Assessment

Cited by 277

Causality: Some Statistical Aspects

Cox, D. R. (1992) · Journal of the Royal Statistical Society. Series A (Statistics in Society)

Advanced Causal Inference TechniquesBayesian Modeling and Causal Inference

Cited by 277

A quantitative study of the human cerebellum with unbiased stereological techniques

Andersen, B. B., Korbo, L., & Pakkenberg, B. (1992) · Journal of Comparative Neurology

Point processes and geometric inequalitiesClassical Anatomy and Histology

Cited by 276

Using Multilevel Models to Analyze Couple and Family Treatment Data: Basic and Advanced Issues.

Atkins, D. C. (2005) · Journal of Family Psychology

Statistical Methods and Bayesian InferenceAttachment and Relationship Dynamics

Cited by 276

Three-Dimensional Quantum Gravity, Chern-Simons Theory, and the A-Polynomial

Gukov, S. (2003) · arXiv

Geometric and Algebraic TopologyBlack Holes and Theoretical Physics

Cited by 276

Algorithm 806: SPRNG: a scalable library for pseudorandom number generation

Mascagni, M., & Srinivasan, A. (2000) · ACM Transactions on Mathematical Software

Mathematical Approximation and IntegrationSimulation Techniques and Applications

Cited by 275