Check mathematics papers: citations, claims and retractions

Excess mortality reveals covid’s true toll in russia

Kobak, D. (2021) · Significance

COVID-19 epidemiological studiesHealthcare Systems and Public Health

Cited by 65

Randomized Controlled Trials With Time-to-Event Outcomes: How Much Does Prespecified Covariate Adjustment Increase Power?

Hernández, A. V., Eijkemans, M. J. C., & Steyerberg, E. W. (2006) · Annals of Epidemiology

Statistical Methods in Clinical TrialsAdvanced Causal Inference Techniques

Cited by 65

Reporting results of latent growth modeling and multilevel modeling analyses: some recommendations for rehabilitation psychology.

Jackson, D. L. (2010) · Rehabilitation Psychology

Statistical Methods and Bayesian InferencePsychometric Methodologies and Testing

Cited by 65

The Effects of Dynamic Strategic Math on English Language Learners’ Word Problem Solving

Orosco, M. J., Swanson, H. L., O’Connor, R., & Lussier, C. (2013) · The Journal of Special Education

Mathematics Education and PedagogyCognitive and developmental aspects of mathematical skills

Cited by 65

Left, right or both? Estimating and improving accuracy of one-side-only geometric morphometric analyses of cranial variation

Cardini, A. (2017) · Journal of Zoological Systematics and Evolutionary Research

Morphological variations and asymmetryComparative Animal Anatomy Studies

Cited by 64

Imputation approaches for potential outcomes in causal inference

Westreich, D., Edwards, J. K., Cole, S. R., Platt, R. W., Mumford, S. L., & Schisterman, E. F. (2015) · International Journal of Epidemiology

Advanced Causal Inference TechniquesStatistical Methods and Bayesian Inference

Cited by 64

Bio-creep in non-inferiority clinical trials

Everson‐Stewart, S., & Emerson, S. S. (2010) · Statistics in Medicine

Statistical Methods in Clinical TrialsMeta-analysis and systematic reviews

Cited by 64

Analysis of single-case data: Randomisation tests for measures of effect size

Heyvaert, M., & Onghena, P. (2014) · Neuropsychological Rehabilitation

Statistical Methods in Clinical TrialsBehavioral and Psychological Studies

Cited by 64

A general inefficacy interim monitoring rule for randomized clinical trials

Freidlin, B., Korn, E. L., & Gray, R. (2010) · Clinical Trials

Statistical Methods in Clinical TrialsProbability and Statistical Research

Cited by 64

Should Stroke Trials Adjust Functional Outcome for Baseline Prognostic Factors?

The Optimising the Analysis of Stroke Trials (OAST) Collaboration (2009) · Stroke

Statistical Methods in Clinical TrialsStatistical Methods in Epidemiology

Cited by 64

Pareto 80/20 law: Derivation via random partitioning

Lipovetsky, S. (2009) · International Journal of Mathematical Education in Science and Technology

Probability and Statistical ResearchMathematics Education and Pedagogy

Cited by 64

Ensemble learning of inverse probability weights for marginal structural modeling in large observational datasets

Gruber, S., Logan, R. W., Jarrín, I., Monge, S., & Hernán, M. A. (2015) · Statistics in Medicine

Advanced Causal Inference TechniquesStatistical Methods and Inference

Cited by 64

MMRM versus MI in Dealing with Missing Data—A Comparison Based on 25 NDA Data Sets

Siddiqui, O. (2011) · Journal of Biopharmaceutical Statistics

Statistical Methods and Bayesian InferenceStatistical Methods in Clinical Trials

Cited by 63

Model Selection of the Effect of Binary Exposures over the Life Course

Smith, A. D. A. C., Heron, J., Mishra, G., Gilthorpe, M. S., Ben-Shlomo, Y., & Tilling, K. (2015) · Epidemiology

Statistical Methods and InferenceStatistical Methods in Epidemiology

Cited by 63

Einstein spaces as attractors for the Einstein flow

Andersson, L., & Moncrief, V. (2011) · Journal of Differential Geometry

Geometric Analysis and Curvature FlowsRelativity and Gravitational Theory

Cited by 63

N-of-1 trials are a tapestry of heterogeneity

Punja, S., Bukutu, C., Shamseer, L., Sampson, M., Hartling, L., Urichuk, L., & Vohra, S. (2016) · Journal of Clinical Epidemiology

Statistical Methods in Clinical TrialsMeta-analysis and systematic reviews

Cited by 63

Credibility assessment of in silico clinical trials for medical devices

Pathmanathan, P., Aycock, K., Badal, A., Bighamian, R., Bodner, J., Craven, B. A., & Niederer, S. (2024) · PLOS Computational Biology

Statistical Methods in Clinical TrialsArtificial Intelligence in Healthcare and Education

Cited by 62

Adaptive Biased Urn Randomization in Small Strata When Blinding Is Impossible

Schouten, H. J. A. (1995) · Biometrics

Statistical Methods in Clinical TrialsOptimal Experimental Design Methods

Cited by 62

Intention-to-treat analyses and missing data approaches in pharmacotherapy trials for alcohol use disorders

Del Re, A. C., Maisel, N. C., Blodgett, J. C., & Finney, J. W. (2013) · BMJ Open

Statistical Methods in Clinical TrialsMeta-analysis and systematic reviews

Cited by 62

Effectiveness of the MASTER Program for Teaching Special Children Multiplication and Division

Van Luit, J. E. H., & Naglieri, J. A. (1999) · Journal of Learning Disabilities

Cognitive and developmental aspects of mathematical skillsMathematics Education and Pedagogy

Cited by 62

A matching framework to improve causal inference in interrupted time‐series analysis

Linden, A. (2018) · Journal of Evaluation in Clinical Practice

Advanced Causal Inference TechniquesEvaluation and Performance Assessment

Cited by 62

Calculation of Sample Size for Stroke Trials Assessing Functional Outcome: Comparison of Binary and Ordinal Approaches: The Optimising Analysis of Stroke Trials (OAST) collaboration

Bath, P. (2008) · International Journal of Stroke

Statistical Methods in Clinical TrialsStatistical Methods in Epidemiology

Cited by 62

On determinism and well-posedness in multiple time dimensions

Craig, W., & Weinstein, S. (2009) · Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences

Differential Equations and Boundary ProblemsAdvanced Mathematical Physics Problems

Cited by 62

Incorporation of stochastic engineering models as prior information in Bayesian medical device trials

Haddad, T., Himes, A., Thompson, L., Irony, T., Nair, R., & on Behalf of MDIC Computer Modeling and Simulation Working Group Participants (2017) · Journal of Biopharmaceutical Statistics

Statistical Methods in Clinical TrialsStatistical Methods and Bayesian Inference

Cited by 62