Check mathematics papers: citations, claims and retractions

Stochastic geometry and random graphs for the analysis and design of wireless networks

Haenggi, M., Andrews, J. G., Baccelli, F., Dousse, O., & Franceschetti, M. (2009) · IEEE Journal on Selected Areas in Communications

Point processes and geometric inequalitiesMobile Ad Hoc Networks

Cited by 1,719

Model Selection: An Integral Part of Inference

Buckland, S. T., Burnham, K. P., & Augustin, N. H. (1997) · Biometrics

Statistical Methods and InferenceStatistical Methods and Bayesian Inference

Cited by 1,717

Bayesian computation via the Gibbs sampler and related Markov chain Monte Carlo methods

Smith, A. F. M., & Roberts, G. O. (1993) · Journal of the Royal Statistical Society Series B: Statistical Methodology

Markov Chains and Monte Carlo MethodsStatistical Methods and Bayesian Inference

Cited by 1,713

Statistics Notes: Diagnostic tests 2: predictive values

Altman, D. G., & Bland, J. M. (1994) · BMJ

Statistical Methods in EpidemiologyMeta-analysis and systematic reviews

Cited by 1,711

Why Propensity Scores Should Not Be Used for Matching

King, G., & Nielsen, R. (2019) · Political Analysis

Advanced Causal Inference TechniquesStatistical Methods and Bayesian Inference

Cited by 1,706

Conceptualizing and testing random indirect effects and moderated mediation in multilevel models: New procedures and recommendations.

Bauer, D. J., Preacher, K. J., & Gil, K. M. (2006) · Psychological Methods

Statistical Methods and Bayesian InferenceAdvanced Causal Inference Techniques

Cited by 1,704

Weak convergence and optimal scaling of random walk Metropolis algorithms

Roberts, G. O., Gelman, A., & Gilks, W. R. (1997) · The Annals of Applied Probability

Markov Chains and Monte Carlo MethodsTheoretical and Computational Physics

Cited by 1,693

Cem: Coarsened Exact Matching in Stata

Blackwell, M., Iacus, S., King, G., & Porro, G. (2009) · The Stata Journal: Promoting communications on statistics and Stata

Advanced Causal Inference TechniquesStatistical Methods and Bayesian Inference

Cited by 1,689

Kernel density estimation via diffusion

Botev, Z. I., Grotowski, J. F., & Kroese, D. P. (2010) · The Annals of Statistics

Statistical Methods and InferenceProbability and Statistical Research

Cited by 1,689

Use and misuse of population attributable fractions

Rockhill, B., Newman, B., & Weinberg, C. (1998) · American Journal of Public Health

Statistical Methods in EpidemiologyAdvanced Causal Inference Techniques

Cited by 1,683

How can I deal with missing data in my study?

Bennett, D. A. (2001) · Australian and New Zealand Journal of Public Health

Statistical Methods and Bayesian InferenceStatistical Methods in Epidemiology

Cited by 1,656

Surrogate End Points in Clinical Trials: Are We Being Misled?

Fleming, T. R., & DeMets, D. L. (1996) · Annals of Internal Medicine

Statistical Methods in Clinical TrialsAdvanced Causal Inference Techniques

Cited by 1,651

Evaluating medication effects outside of clinical trials: new-user designs

Ray, W. A. (2003) · American Journal of Epidemiology

Advanced Causal Inference TechniquesStatistical Methods in Epidemiology

Cited by 1,646

$I$-Divergence Geometry of Probability Distributions and Minimization Problems

Csiszar, I. (1975) · The Annals of Probability

Mathematical Inequalities and ApplicationsProbability and Statistical Research

Cited by 1,645

VODE: a variable-coefficient ODE solver.

Brown, P. N., Byrne, G. D., & Hindmarsh, A. C. (1989) · SIAM Journal on Scientific and Statistical Computing

Numerical methods for differential equationsModeling and Simulation Systems

Cited by 1,642

DifferentialEquations.jl – A Performant and Feature-Rich Ecosystem for Solving Differential Equations in Julia

Rackauckas, C., & Nie, Q. (2017) · Journal of Open Research Software

Numerical methods for differential equationsModeling and Simulation Systems

Cited by 1,636

Invariant Scattering Convolution Networks

Bruna, J., & Mallat, S. (2013) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Mathematical Analysis and Transform MethodsImage Retrieval and Classification Techniques

Cited by 1,633

Linear and quadratic time-frequency signal representations

Hlawatsch, F., & Boudreaux-Bartels, G. F. (1992) · IEEE Signal Processing Magazine

Mathematical Analysis and Transform MethodsSparse and Compressive Sensing Techniques

Cited by 1,632

Discrimination and Calibration of Clinical Prediction Models: Users’ Guides to the Medical Literature

Alba, A. C., Agoritsas, T., Walsh, M., Hanna, S., Iorio, A., Devereaux, P. J., McGinn, T., & Guyatt, G. (2017) · JAMA

Statistical Methods in EpidemiologyClinical Reasoning and Diagnostic Skills

Cited by 1,631

Sample criteria for testing outlying observations

Grubbs, F. E. (1950) · The Annals of Mathematical Statistics

Advanced Statistical Methods and ModelsStatistical Distribution Estimation and Applications

Cited by 1,631

The Importance of Beta, the Type II Error and Sample Size in the Design and Interpretation of the Randomized Control Trial: Survey of 71 Negative Trials

Freiman, J. A., Chalmers, T. C., Smith, H., & Kuebler, R. R. (1978) · New England Journal of Medicine

Statistical Methods in Clinical TrialsStatistical Methods in Epidemiology

Cited by 1,628

Identification, Inference and Sensitivity Analysis for Causal Mediation Effects

Imai, K., Keele, L., & Yamamoto, T. (2010) · Statistical Science

Advanced Causal Inference TechniquesStatistical Methods and Bayesian Inference

Cited by 1,628

Model selection and estimation in the Gaussian graphical model

Yuan, M., & Lin, Y. (2007) · Biometrika

Statistical Methods and InferenceRandom Matrices and Applications

Cited by 1,627

Non-normal data: Is ANOVA still a valid option?

Blanca, M., Alarcón, R., Arnau, J., Bono, R., & Bendayan, R. (2017) · Psicothema

Advanced Statistical Methods and ModelsProbability and Statistical Research

Cited by 1,624