Most cited mathematics papers
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A comment on replication,P‐values and evidence
Goodman, S. N. (1992) · Statistics in Medicine
Statistical Methods in Clinical TrialsStatistical Methods and Bayesian Inference
Cited by 309
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Properties of the urn randomization in clinical trials
Wei, L. J., & Lachin, J. M. (1988) · Controlled Clinical Trials
Statistical Methods in Clinical TrialsOptimal Experimental Design Methods
Cited by 308
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Good Research Practices for Comparative Effectiveness Research: Approaches to Mitigate Bias and Confounding in the Design of Nonrandomized Studies of Treatment Effects Using Secondary Data Sources: The International Society for Pharmacoeconomics and Outcomes Research Good Research Practices for Retrospective Database Analysis Task Force Report—Part II
Cox, E., Martin, B. C., Van Staa, T., Garbe, E., Siebert, U., & Johnson, M. L. (2009) · Value in Health
Advanced Causal Inference TechniquesStatistical Methods in Epidemiology
Cited by 307
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Network Sampling: From Snowball and Multiplicity to Respondent-Driven Sampling
Heckathorn, D. D., & Cameron, C. J. (2017) · Annual Review of Sociology
Survey Sampling and Estimation TechniquesCensus and Population Estimation
Cited by 307
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Randomization in clinical studies
Lim, C.-Y., & In, J. (2019) · Korean Journal of Anesthesiology
Statistical Methods in Clinical TrialsOptimal Experimental Design Methods
Cited by 307
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How to address non-normality: a taxonomy of approaches, reviewed, and illustrated
Pek, J., Wong, O., & Wong, A. C. M. (2018) · Frontiers in Psychology
Advanced Statistical Methods and ModelsStatistical Methods and Bayesian Inference
Cited by 307
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Variation in the COVID-19 infection-fatality ratio by age, time, and geography during the pre-vaccine era: a systematic analysis
† (2022) · The Lancet
COVID-19 epidemiological studiesSARS-CoV-2 and COVID-19 Research
Cited by 306
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The analysis of repeated measures designs: A review
Keselman, H. J., Algina, J., & Kowalchuk, R. K. (2001) · British Journal of Mathematical and Statistical Psychology
Statistical Methods and Bayesian InferenceStatistical Methods and Applications
Cited by 306
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Vector fields and Ricci curvature
Bochner, S. (1946) · Bulletin of the American Mathematical Society
Geometry and complex manifoldsAdvanced Differential Geometry Research
Cited by 306
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Sample Sizes When Using Multiple Linear Regression for Prediction
Knofczynski, G. T., & Mundfrom, D. (2008) · Educational and Psychological Measurement
Advanced Statistical Methods and ModelsStatistical Methods and Applications
Cited by 306
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Sample Size Calculations for Studies with Correlated Observations
Liu, G., & Liang, K.-Y. (1997) · Biometrics
Statistical Methods in Clinical TrialsStatistical Methods and Bayesian Inference
Cited by 306
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Causality and Endogeneity
Antonakis, J., Bendahan, S., Jacquart, P., & Lalive, R. (2014) · Oxford Handbooks Online
Advanced Causal Inference TechniquesBusiness Strategies and Management Research
Cited by 305
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A graphical approach to the identification and estimation of causal parameters in mortality studies with sustained exposure periods
Robins, J. (1987) · Journal of Chronic Diseases
Advanced Causal Inference TechniquesStatistical Methods in Epidemiology
Cited by 305
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Singular Kähler-Einstein metrics
Eyssidieux, P., Guedj, V., & Zeriahi, A. (2009) · Journal of the American Mathematical Society
Geometry and complex manifoldsAlgebraic Geometry and Number Theory
Cited by 305
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MEDIATION ANALYSIS: ISSUES AND RECOMMENDATIONS
Memon, M. A., Cheah, J.-H., Ramayah, T., Ting, H., & Chuah, F. (2018) · Journal of Applied Structural Equation Modeling
Advanced Causal Inference TechniquesPsychometric Methodologies and Testing
Cited by 305
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Analyzing social experiments as implemented: A reexamination of the evidence from the HighScope Perry Preschool Program
Heckman, J. J., Moon, S. H., Pinto, R. R., Savelyev, P. A., & Yavitz, A. (2010) · Quantitative Economics
Advanced Causal Inference TechniquesEvaluation and Performance Assessment
Cited by 304
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The analysis of binomial data by a generalized linear mixed model
GILMOUR, A. R., ANDERSON, R. D., & RAE, A. L. (1985) · Biometrika
Statistical Methods and Bayesian InferenceGenetic and phenotypic traits in livestock
Cited by 304
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PCA consistency in high dimension, low sample size context
Jung, S., & Marron, J. S. (2009) · The Annals of Statistics
Statistical Methods and ApplicationsStatistical Methods and Inference
Cited by 303
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Consequences of dichotomization
Fedorov, V., Mannino, F., & Zhang, R. (2009) · Pharmaceutical Statistics
Statistical Methods and Bayesian InferenceStatistical Methods in Clinical Trials
Cited by 303
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Attrition in randomized controlled clinical trials: methodological issues in psychopharmacology
Leon, A. C., Mallinckrodt, C. H., Chuang-Stein, C., Archibald, D. G., Archer, G. E., & Chartier, K. (2006) · Biological Psychiatry
Statistical Methods and Bayesian InferenceStatistical Methods in Clinical Trials
Cited by 303
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Missing data in a multi-item instrument were best handled by multiple imputation at the item score level
Eekhout, I., de Vet, H. C. W., Twisk, J. W. R., Brand, J. P. L., de Boer, M. R., & Heymans, M. W. (2014) · Journal of Clinical Epidemiology
Statistical Methods and Bayesian InferenceStatistical Methods in Epidemiology
Cited by 302
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Tools for Intuition about Sample Selection Bias and Its Correction
Stolzenberg, R. M., & Relles, D. A. (1997) · American Sociological Review
Advanced Causal Inference TechniquesStatistical Methods and Inference
Cited by 301
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MMRM vs. LOCF: A Comprehensive Comparison Based on Simulation Study and 25 NDA Datasets
Siddiqui, O., Hung, H. M. J., & O'Neill, R. (2009) · Journal of Biopharmaceutical Statistics
Statistical Methods and Bayesian InferenceStatistical Methods in Clinical Trials
Cited by 301
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The R0 package: a toolbox to estimate reproduction numbers for epidemic outbreaks
Obadia, T., Haneef, R., & Boëlle, P.-Y. (2012) · BMC Medical Informatics and Decision Making
Mathematical and Theoretical Epidemiology and Ecology ModelsCOVID-19 epidemiological studies
Cited by 300
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