Check mathematics papers: citations, claims and retractions

A not quite as quick but much cleaner alternative to the Expanded Programme on Immunization (EPI) Cluster Survey design.

TURNER, A. G., MAGNANI, R. J., & SHUAIB, M. (1996) · International Journal of Epidemiology

Survey Sampling and Estimation TechniquesSurvey Methodology and Nonresponse

Cited by 248

A Guide for Population-based Analysis of the Adolescent Brain Cognitive Development (ABCD) Study Baseline Data

Heeringa, S. G., & Berglund, P. A. (2020) · bioRxiv (Cold Spring Harbor Laboratory)

Survey Sampling and Estimation TechniquesStatistical Methods and Bayesian Inference

Cited by 247

THE INFLUENCE OF INTRAGUILD PREDATION ON PREY SUPPRESSION AND PREY RELEASE: A META-ANALYSIS

Vance-Chalcraft, H. D., Rosenheim, J. A., Vonesh, J. R., Osenberg, C. W., & Sih, A. (2007) · Ecology

Mathematical and Theoretical Epidemiology and Ecology ModelsAnimal Ecology and Behavior Studies

Cited by 247

Complete Kähler manifolds with zero Ricci curvature. I

Tian, G., & Yau, S. T. (1990) · Journal of the American Mathematical Society

Geometry and complex manifoldsAlgebraic Geometry and Number Theory

Cited by 247

Bayesian Adaptive Sampling for Variable Selection and Model Averaging

Clyde, M. A., Ghosh, J., & Littman, M. L. (2011) · Journal of Computational and Graphical Statistics

Markov Chains and Monte Carlo MethodsStatistical Methods and Inference

Cited by 247

Approximate Bayesian computation (ABC) gives exact results under the assumption of model error

Wilkinson, R. D. (2013) · Statistical Applications in Genetics and Molecular Biology

Markov Chains and Monte Carlo MethodsStatistical Methods and Bayesian Inference

Cited by 247

Multilevel models for longitudinal data

Steele, F. (2008) · Journal of the Royal Statistical Society Series A (Statistics in Society)

Statistical Methods and Bayesian InferenceSpatial and Panel Data Analysis

Cited by 247

Canonical Tensor Decomposition for Knowledge Base Completion

Lacroix, T., Usunier, N., & Obozinski, G. (2018) · arXiv

Tensor decomposition and applicationsAdvanced Graph Neural Networks

Cited by 247

SUFFICIENCY OF CHANNELS OVER VON NEUMANN ALGEBRAS

PETZ, D. (1988) · The Quarterly Journal of Mathematics

Advanced Operator Algebra ResearchQuantum Information and Cryptography

Cited by 246

Methodological guidance for the evaluation and updating of clinical prediction models: a systematic review

Binuya, M. A. E., Engelhardt, E. G., Schats, W., Schmidt, M. K., & Steyerberg, E. W. (2022) · BMC Medical Research Methodology

Statistical Methods in EpidemiologyMeta-analysis and systematic reviews

Cited by 246

The Mediation Proportion: A Structural Equation Approach for Estimating the Proportion of Exposure Effect on Outcome Explained by an Intermediate Variable

Ditlevsen, S., Christensen, U., Lynch, J., Damsgaard, M. T., & Keiding, N. (2005) · Epidemiology

Advanced Causal Inference TechniquesStatistical Methods in Epidemiology

Cited by 246

Temperley-Lieb Recoupling Theory and Invariants of 3-Manifolds (AM-134)

Kauffman, L. H., & Lins, S. (1994) · Princeton University Press eBooks

Geometric and Algebraic TopologyHomotopy and Cohomology in Algebraic Topology

Cited by 245

Randomized controlled trials and real life studies. Approaches and methodologies: a clinical point of view.

Saturni, S., Bellini, F., Braido, F., Paggiaro, P., Sanduzzi, A., Scichilone, N., Santus, P. A., Morandi, L., & Papi, A. (2014) · Pulmonary Pharmacology & Therapeutics

Statistical Methods in Clinical TrialsChronic Obstructive Pulmonary Disease (COPD) Research

Cited by 245

Practical Issues in Implementing and Understanding Bayesian Ideal Point Estimation

Bafumi, J., Gelman, A., Park, D. K., & Kaplan, N. (2005) · Political Analysis

Statistical Methods and Bayesian InferenceElectoral Systems and Political Participation

Cited by 245

Cluster randomized trials with a small number of clusters: which analyses should be used?

Leyrat, C., Morgan, K. E., Leurent, B., & Kahan, B. C. (2018) · International Journal of Epidemiology

Statistical Methods in Clinical TrialsStatistical Methods and Bayesian Inference

Cited by 244

Semantic and cognitive tools to aid statistical science: replace confidence and significance by compatibility and surprise

Rafi, Z., & Greenland, S. (2020) · BMC Medical Research Methodology

Statistical Methods in EpidemiologyStatistics Education and Methodologies

Cited by 243

Selective minimum-norm solution of the biomagnetic inverse problem

Matsuura, K., & Okabe, Y. (1995) · IEEE Transactions on Biomedical Engineering

Numerical methods in inverse problemsEEG and Brain-Computer Interfaces

Cited by 243

External Validity of Risk Models: Use of Benchmark Values to Disentangle a Case-Mix Effect From Incorrect Coefficients

Vergouwe, Y., Moons, K. G. M., & Steyerberg, E. W. (2010) · American Journal of Epidemiology

Statistical Methods in EpidemiologyAdvanced Causal Inference Techniques

Cited by 243

Difference-in-Differences with a Continuous Treatment

Callaway, B., Goodman-Bacon, A., & Sant'Anna, P. H. C. (2021) · arXiv

Advanced Causal Inference TechniquesSpatial and Panel Data Analysis

Cited by 243

Designing a stepped wedge trial: three main designs, carry-over effects and randomisation approaches

Copas, A. J., Lewis, J. J., Thompson, J. A., Davey, C., Baio, G., & Hargreaves, J. R. (2015) · Trials

Statistical Methods in Clinical TrialsHealth Policy Implementation Science

Cited by 242

Large Complex Structure Limits of K3 Surfaces

Gross, M., & Wilson, P. M. H. (2000) · Journal of Differential Geometry

Geometry and complex manifoldsAlgebraic Geometry and Number Theory

Cited by 242

Causal Inference About the Effects of Interventions From Observational Studies in Medical Journals

Dahabreh, I. J., & Bibbins-Domingo, K. (2024) · JAMA

Advanced Causal Inference TechniquesMeta-analysis and systematic reviews

Cited by 242

COVID-19 and Inequity: a Comparative Spatial Analysis of New York City and Chicago Hot Spots

Maroko, A. R., Nash, D., & Pavilonis, B. T. (2020) · Journal of Urban Health

COVID-19 epidemiological studiesHealth disparities and outcomes

Cited by 242

Smoothing and interpolation with the state-space model

de Jong, P. (1989) · Journal of the American Statistical Association

Statistical and numerical algorithmsTarget Tracking and Data Fusion in Sensor Networks

Cited by 242