Check mathematics papers: citations, claims and retractions

Matrix Completion Methods for Causal Panel Data Models

Athey, S., Bayati, M., Doudchenko, N., Imbens, G., & Khosravi, K. (2018) · Journal of the American Statistical Association

Advanced Causal Inference TechniquesSpatial and Panel Data Analysis

Cited by 497

Multiple-bias modelling for analysis of observational data

Greenland, S. (2005) · Journal of the Royal Statistical Society Series A (Statistics in Society)

Statistical Methods in EpidemiologyMeta-analysis and systematic reviews

Cited by 497

Well-Quasi-Ordering, The Tree Theorem, and Vazsonyi's Conjecture

Kruskal, J. B. (1960) · Transactions of the American Mathematical Society

Advanced Topology and Set TheoryAdvanced Combinatorial Mathematics

Cited by 497

The importance of assessing the fit of logistic regression models: a case study.

Hosmer, D. W., Taber, S., & Lemeshow, S. (1991) · American Journal of Public Health

Statistical Methods in EpidemiologyStatistical Methods and Bayesian Inference

Cited by 496

Real-world data: A brief review of the methods, applications, challenges and opportunities

Liu, F., & Panagiotakos, D. (2022) · BMC Medical Research Methodology

Advanced Causal Inference TechniquesElectronic Health Records Systems

Cited by 496

Zeros of Gaussian Analytic Functions and Determinantal Point Processes

Hough, J., Krishnapur, M., Peres, Y., & Virág, B. (2009) · University Lecture Series

Random Matrices and ApplicationsHolomorphic and Operator Theory

Cited by 496

Small studies: strengths and limitations

Hackshaw, A. (2008) · European Respiratory Journal

Statistical Methods in EpidemiologyStatistical Methods in Clinical Trials

Cited by 496

A Second Chance to Get Causal Inference Right: A Classification of Data Science Tasks

Hernán, M. A., Hsu, J., & Healy, B. (2019) · CHANCE

Advanced Causal Inference TechniquesStatistics Education and Methodologies

Cited by 495

THE EFFECT OF MISCLASSIFICATION IN THE PRESENCE OF COVARIATES

GREENLAND, S. (1980) · American Journal of Epidemiology

Statistical Methods in EpidemiologyAdvanced Causal Inference Techniques

Cited by 494

Invited commentary: ecologic studies—biases, misconceptions, and counterexamples

Greenland, S., & Robins, J. (1994) · American Journal of Epidemiology

Statistical Methods in EpidemiologyAdvanced Causal Inference Techniques

Cited by 494

Propensity score methods gave similar results to traditional regression modeling in observational studies: a systematic review

Shah, B. R., Laupacis, A., Hux, J. E., & Austin, P. C. (2005) · Journal of Clinical Epidemiology

Advanced Causal Inference TechniquesStatistical Methods in Epidemiology

Cited by 493

Exploring the impact of phonological awareness, visual-spatial working memory, and preschool quantity-number competencies on mathematics achievement in elementary school: Findings from a 3-year longitudinal study

Krajewski, K., & Schneider, W. (2009) · Journal of Experimental Child Psychology

Cognitive and developmental aspects of mathematical skillsReading and Literacy Development

Cited by 493

Optional stopping: No problem for Bayesians

Rouder, J. N. (2014) · Psychonomic Bulletin & Review

Statistical Methods and Bayesian InferenceBayesian Modeling and Causal Inference

Cited by 492

Immersions of manifolds

Hirsch, M. W. (1959) · Transactions of the American Mathematical Society

Geometric and Algebraic TopologyHomotopy and Cohomology in Algebraic Topology

Cited by 491

The importance of covariate selection in controlling for selection bias in observational studies.

Steiner, P. M., Cook, T. D., Shadish, W. R., & Clark, M. H. (2010) · Psychological Methods

Advanced Causal Inference TechniquesMeta-analysis and systematic reviews

Cited by 490

Variable Kernel Estimates of Multivariate Densities

Breiman, L., Meisel, W., & Purcell, E. (1977) · Technometrics

Statistical Methods and ApplicationsStatistical Methods and Inference

Cited by 488

Evaluation of the Bayesian and Maximum Likelihood Approaches in Analyzing Structural Equation Models with Small Sample Sizes

Lee, S.-Y., & Song, X.-Y. (2004) · Multivariate Behavioral Research

Statistical Methods and Bayesian InferencePsychometric Methodologies and Testing

Cited by 488

Standard Errors and Sample Sizes for Two-Level Research

Snijders, T. A. B., & Bosker, R. J. (1993) · Journal of Educational Statistics

Statistical Methods and Bayesian InferenceSurvey Sampling and Estimation Techniques

Cited by 487

Epidemiology and transmission dynamics of COVID-19 in two Indian states

Laxminarayan, R., Wahl, B., Dudala, S. R., Gopal, K., Mohan B, C., Neelima, S., Jawahar Reddy, K. S., Radhakrishnan, J., & Lewnard, J. A. (2020) · Science

COVID-19 epidemiological studiesSARS-CoV-2 and COVID-19 Research

Cited by 485

Estimation of excess deaths associated with the COVID-19 pandemic in the United States, March to May 2020

Weinberger, D. M., Chen, J., Cohen, T., Crawford, F. W., Mostashari, F., Olson, D., Pitzer, V. E., Reich, N. G., Russi, M., Simonsen, L., et al. (2020) · JAMA Internal Medicine

COVID-19 epidemiological studiesCOVID-19 Clinical Research Studies

Cited by 485

The Phantom Menace: Omitted Variable Bias in Econometric Research

Clarke, K. A. (2005) · Conflict Management and Peace Science

Advanced Causal Inference TechniquesPolitical Science Research and Education

Cited by 484

Developing risk prediction models for type 2 diabetes: a systematic review of methodology and reporting

Collins, G. S., Mallett, S., Omar, O., & Yu, L.-M. (2011) · BMC Medicine

Statistical Methods in EpidemiologyDiabetes, Cardiovascular Risks, and Lipoproteins

Cited by 484

Firth's logistic regression with rare events: accurate effect estimates and predictions?

Puhr, R., Heinze, G., Nold, M., Lusa, L., & Geroldinger, A. (2017) · Statistics in Medicine

Statistical Methods in EpidemiologyStatistical Methods and Bayesian Inference

Cited by 483

A Tutorial on Multilevel Survival Analysis: Methods, Models and Applications

Austin, P. C. (2017) · International Statistical Review

Statistical Methods and Bayesian InferenceStatistical Distribution Estimation and Applications

Cited by 483