Most cited mathematics papers
- Verified
Regression based quasi-experimental approach when randomisation is not an option: interrupted time series analysis
Kontopantelis, E., Doran, T., Springate, D. A., Buchan, I., & Reeves, D. (2015) · BMJ
Advanced Causal Inference TechniquesStatistical Methods in Epidemiology
Cited by 1,001
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ESTIMATING PREVALENCE FROM THE RESULTS OF A SCREENING TEST
ROGAN, W. J., & GLADEN, B. (1978) · American Journal of Epidemiology
Statistical Methods in EpidemiologyGlobal Cancer Incidence and Screening
Cited by 1,001
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LASSO regression
Ranstam, J., & Cook, J. A. (2018) · British Journal of Surgery
Statistical Methods and InferenceStatistical Methods in Epidemiology
Cited by 1,000
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Polarization and public health: Partisan differences in social distancing during the coronavirus pandemic
Allcott, H., Boxell, L., Conway, J., Gentzkow, M., Thaler, M., & Yang, D. (2020) · Journal of Public Economics
COVID-19 epidemiological studiesCommunication and COVID-19 Impact
Cited by 999
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Selection of Controls in Case-Control Studies
Wacholder, S., McLaughlin, J. K., Silverman, D. T., & Mandel, J. S. (1992) · American Journal of Epidemiology
Statistical Methods in EpidemiologyAdvanced Causal Inference Techniques
Cited by 998
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The impact of COVID-19 and strategies for mitigation and suppression in low- and middle-income countries
Walker, P. G. T., Whittaker, C., Watson, O. J., Baguelin, M., Winskill, P., Hamlet, A., Djafaara, B. A., Cucunubá, Z., Olivera Mesa, D., Green, W., et al. (2020) · Science
COVID-19 epidemiological studiesCOVID-19 Prevention and Impact
Cited by 993
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Variance components testing in the longitudinal mixed effects model
Stram, D. O., & Lee, J. W. (1994) · Biometrics
Statistical Methods and Bayesian InferenceStatistical Methods in Clinical Trials
Cited by 992
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Using the Student's t-test with extremely small sample sizes
de Winter, J. C. F. (2013) · University of Massachusetts Amherst
Probability and Statistical ResearchStatistical Methods in Clinical Trials
Cited by 992
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Statistical control in correlational studies: 10 essential recommendations for organizational researchers
Becker, T. E., Atinc, G., Breaugh, J. A., Carlson, K. D., Edwards, J. R., & Spector, P. E. (2016) · Journal of Organizational Behavior
Advanced Causal Inference TechniquesStatistical Methods and Bayesian Inference
Cited by 989
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Using the E-Value to Assess the Potential Effect of Unmeasured Confounding in Observational Studies
Haneuse, S., VanderWeele, T. J., & Arterburn, D. (2019) · JAMA
Advanced Causal Inference TechniquesStatistical Methods in Epidemiology
Cited by 988
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Kernel Smoothing in Partial Linear Models
Speckman, P. (1988) · Journal of the Royal Statistical Society Series B: Statistical Methodology
Statistical Methods and InferenceStatistical Methods and Applications
Cited by 986
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Technical Note—A General Inner Approximation Algorithm for Nonconvex Mathematical Programs
Marks, B. R., & Wright, G. P. (1978) · Operations Research
Advanced Optimization Algorithms ResearchOptimization and Variational Analysis
Cited by 985
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Competing risks in epidemiology: possibilities and pitfalls
Andersen, P. K., Geskus, R. B., de Witte, T., & Putter, H. (2012) · International Journal of Epidemiology
Statistical Methods in EpidemiologyProbability and Statistical Research
Cited by 985
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Indices of Effect Existence and Significance in the Bayesian Framework
Makowski, D., Ben-Shachar, M. S., Chen, S. H. A., & Lüdecke, D. (2019) · Frontiers in Psychology
Statistical Methods and Bayesian InferenceMeta-analysis and systematic reviews
Cited by 983
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On the Variances of Asymptotically Normal Estimators from Complex Surveys
Binder, D. A. (1983) · International Statistical Review / Revue Internationale de Statistique
Survey Sampling and Estimation TechniquesSurvey Methodology and Nonresponse
Cited by 982
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Stein's Estimation Rule and its Competitors—An Empirical Bayes Approach
Efron, B., & Morris, C. (1973) · Journal of the American Statistical Association
Statistical Methods and InferenceStatistical Methods and Bayesian Inference
Cited by 981
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Semiparametric regression for the mean and rate functions of recurrent events
Lin, D. Y., Wei, L. J., Yang, I., & Ying, Z. (2000) · Journal of the Royal Statistical Society Series B: Statistical Methodology
Statistical Methods and InferenceProbability and Statistical Research
Cited by 969
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What to do about missing values in time series cross- section data
Honaker, J., & King, G. (2010) · American Journal of Political Science
Statistical Methods and Bayesian InferenceSpatial and Panel Data Analysis
Cited by 966
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Geometric Algebra for Physicists
Doran, C., & Lasenby, A. (2003) · Cambridge University Press eBooks
Algebraic and Geometric AnalysisRelativity and Gravitational Theory
Cited by 962
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An audit of sample sizes for pilot and feasibility trials being undertaken in the United Kingdom registered in the United Kingdom Clinical Research Network database
Billingham, S. A., Whitehead, A. L., & Julious, S. A. (2013) · BMC Medical Research Methodology
Statistical Methods in Clinical TrialsMeta-analysis and systematic reviews
Cited by 962
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Clarifying conditions and decision points for mediational type inferences in Organizational Behavior
Mathieu, J. E., & Taylor, S. R. (2006) · Journal of Organizational Behavior
Advanced Causal Inference TechniquesJob Satisfaction and Organizational Behavior
Cited by 961
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Instruments for Causal Inference: An Epidemiologist's Dream?
Hernán, M. A., & Robins, J. M. (2006) · Epidemiology
Advanced Causal Inference TechniquesStatistical Methods in Epidemiology
Cited by 961
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How Much Should We Trust Estimates from Multiplicative Interaction Models? Simple Tools to Improve Empirical Practice
Hainmueller, J., Mummolo, J., & Xu, Y. (2019) · Political Analysis
Advanced Causal Inference TechniquesSpatial and Panel Data Analysis
Cited by 959
- Verified
Modern robust statistical methods: An easy way to maximize the accuracy and power of your research.
Erceg-Hurn, D. M., & Mirosevich, V. M. (2008) · American Psychologist
Advanced Statistical Methods and ModelsStatistical Methods and Bayesian Inference
Cited by 959
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