Check mathematics papers: citations, claims and retractions

Optimal strategies for COVID-19 prevention from global evidence achieved through social distancing, stay at home, travel restriction and lockdown: a systematic review

Girum, T., Lentiro, K., Geremew, M., Migora, B., Shewamare, S., & Shimbre, M. S. (2021) · Archives of Public Health

COVID-19 epidemiological studiesCOVID-19 Prevention and Impact

Cited by 99

Tumor growthin vivo and as multicellular spheroids compared by mathematical models

Marušic, M., Bajzer, Ž., Vuk-Pavlovic, S., & Freyer, J. P. (1994) · Bulletin of Mathematical Biology

Mathematical Biology Tumor GrowthCancer Cells and Metastasis

Cited by 99

Stability results for Harnack inequalities

Grigor'yan, A., & Saloff-Coste, L. (2005) · Annales de l'Institut Fourier

Geometric Analysis and Curvature FlowsNonlinear Partial Differential Equations

Cited by 99

Tutorial: The practical application of longitudinal structural equation mediation models in clinical trials

Goldsmith, K. A., MacKinnon, D. P., Chalder, T., White, P. D., Sharpe, M., & Pickles, A. (2018) · Psychological Methods

Advanced Causal Inference TechniquesStatistical Methods and Bayesian Inference

Cited by 99

Exact Sample Sizes for Use with the Fisher-Irwin Test for 2 x 2 Tables

Haseman, J. K. (1978) · Biometrics

Probability and Statistical ResearchStatistical Methods in Clinical Trials

Cited by 99

How to Make Models Add Up — A Primer on GLMMs

O'Hara, R. B. (2009) · Annales Zoologici Fennici

Statistical Methods and Bayesian InferenceAgriculture, Soil, Plant Science

Cited by 99

Inference with few heterogeneous clusters

Ibragimov, R., & Müller, U. K. (2016) · Review of Economics and Statistics

Advanced Causal Inference TechniquesSpatial and Panel Data Analysis

Cited by 99

Heights in Diophantine Geometry

Bombieri, E., & Gubler, W. (2001) · Cambridge University Press eBooks

Algebraic Geometry and Number TheoryAdvanced Algebra and Geometry

Cited by 99

EMMLi: A maximum likelihood approach to the analysis of modularity: MAXIMUM LIKELIHOOD ANALYSIS OF MODULARITY

Goswami, A., & Finarelli, J. A. (2016) · Evolution

Morphological variations and asymmetryEvolution and Paleontology Studies

Cited by 99

Bias in methods for deriving standardized morbidity ratio and attributable fraction estimates.

Greenland, S. (1984) · Statistics in Medicine

Statistical Methods in EpidemiologyAdvanced Causal Inference Techniques

Cited by 99

Interaction and synergism

SARACCI, R. (1980) · American Journal of Epidemiology

Statistical Methods in EpidemiologyGenetic Associations and Epidemiology

Cited by 98

Reflection on modern methods: when worlds collide—prediction, machine learning and causal inference

Blakely, T., Lynch, J., Simons, K., Bentley, R., & Rose, S. (2021) · International Journal of Epidemiology

Advanced Causal Inference TechniquesStatistical Methods in Epidemiology

Cited by 98

A Mechanistic Tumor Penetration Model to Guide Antibody Drug Conjugate Design

Vasalou, C., Helmlinger, G., & Gomes, B. (2015) · PLOS ONE

Mathematical Biology Tumor GrowthNanoparticle-Based Drug Delivery

Cited by 98

Clinical effectiveness: an approach to clinical trial design more relevant to clinical practice, acknowledging the importance of individual differences

Moore, R. A., Derry, S., McQuay, H. J., Straube, S., Aldington, D., Wiffen, P., Bell, R. F., Kalso, E., & Rowbotham, M. C. (2010) · Pain

Statistical Methods in Clinical TrialsHealth Systems, Economic Evaluations, Quality of Life

Cited by 98

Efficient estimation of smooth distributions from coarsely grouped data

Rizzi, S., Gampe, J., & Eilers, P. H. C. (2015) · American Journal of Epidemiology

Statistical Methods and InferenceStatistical Distribution Estimation and Applications

Cited by 98

“Proportion explained”: a causal interpretation for standard measures of indirect effect?

Hafeman, D. M. (2009) · American Journal of Epidemiology

Advanced Causal Inference TechniquesStatistical Methods in Epidemiology

Cited by 98

Probability estimation with machine learning methods for dichotomous and multicategory outcome: Theory

Kruppa, J., Liu, Y., Biau, G., Kohler, M., König, I. R., Malley, J. D., & Ziegler, A. (2014) · Biometrical Journal

Statistical Methods and InferenceStatistical Methods and Applications

Cited by 97

Real-world studies no substitute for RCTs in establishing efficacy

Gerstein, H. C., McMurray, J., & Holman, R. R. (2019) · The Lancet

Advanced Causal Inference TechniquesStatistical Methods in Clinical Trials

Cited by 97

Sample size calculation for comparing two negative binomial rates

Zhu, H., & Lakkis, H. (2014) · Statistics in Medicine

Statistical Methods in Clinical TrialsStatistical Methods and Bayesian Inference

Cited by 97

A complete class theorem for statistical problems with finite sample spaces

Brown, L. D. (1981) · The Annals of Statistics

Statistical Methods and Bayesian InferenceProbability and Statistical Research

Cited by 97

Planned missing-data designs in experience-sampling research: Monte Carlo simulations of efficient designs for assessing within-person constructs

Silvia, P. J., Kwapil, T. R., Walsh, M. A., & Myin-Germeys, I. (2014) · Behavior Research Methods

Statistical Methods and Bayesian InferenceMental Health Research Topics

Cited by 97

Minimization–reducing predictability for multi-centre trials whilst retaining balance within centre

Brown, S., Thorpe, H., Hawkins, K., & Brown, J. (2005) · Statistics in Medicine

Statistical Methods in Clinical TrialsAdvanced Causal Inference Techniques

Cited by 97

On the use of causal criteria

Weed, D. (1997) · International Journal of Epidemiology

Advanced Causal Inference TechniquesStatistical Methods in Epidemiology

Cited by 97

Combinatorial curvature for planar graphs

Higuchi, Y. (2001) · Journal of Graph Theory

Geometric Analysis and Curvature FlowsGeometric and Algebraic Topology

Cited by 97