Check mathematics papers: citations, claims and retractions

Developing adaptive treatment strategies in substance abuse research

Murphy, S. A., Lynch, K. G., Oslin, D., McKay, J. R., & TenHave, T. (2007) · Drug and Alcohol Dependence

Statistical Methods in Clinical TrialsAdvanced Causal Inference Techniques

Cited by 211

Making inferences on treatment effects from real world data: propensity scores, confounding by indication, and other perils for the unwary in observational research

Freemantle, N., Marston, L., Walters, K., Wood, J., Reynolds, M. R., & Petersen, I. (2013) · BMJ

Advanced Causal Inference TechniquesStatistical Methods in Epidemiology

Cited by 211

Report 3: Transmissibility of 2019-nCoV

Imai, N., Cori, A., Dorigatti, I., Baguelin, M., Donnelly, C., Riley, S., & Ferguson, N. (2020) · Imperial College London

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

Cited by 210

Reference Bayesian Methods for Generalized Linear Mixed Models

Natarajan, R., & Kass, R. E. (2000) · Journal of the American Statistical Association

Statistical Methods and Bayesian InferenceBayesian Methods and Mixture Models

Cited by 209

Statistical Techniques for the Discovery of Artifact Types

Spaulding, A. C. (1953) · American Antiquity

Statistical Methods and ApplicationsArchaeological and Geological Studies

Cited by 209

Methods of determining optimal cut-point of diagnostic biomarkers with application of clinical data in ROC analysis: an update review

Hassanzad, M., & Hajian-Tilaki, K. (2024) · BMC Medical Research Methodology

Statistical Methods in EpidemiologyMeta-analysis and systematic reviews

Cited by 208

Substructural fragments: an universal language to encode reactions, molecular and supramolecular structures

Varnek, A., Fourches, D., Hoonakker, F., & Solov’ev, V. P. (2005) · Journal of Computer-Aided Molecular Design

Graph theory and applicationsComputational Drug Discovery Methods

Cited by 208

Higher order decompositions of ordered operator exponentials

Wiebe, N., Berry, D., Høyer, P., & Sanders, B. C. (2010) · Journal of Physics A: Mathematical and Theoretical

Numerical methods for differential equationsQuantum Computing Algorithms and Architecture

Cited by 208

Reversing Arrows in Mediation Models Does Not Distinguish Plausible Models

Thoemmes, F. (2015) · Basic and Applied Social Psychology

Advanced Causal Inference TechniquesBayesian Modeling and Causal Inference

Cited by 208

Modeling continuous response variables using ordinal regression

Liu, Q., Shepherd, B. E., Li, C., & Harrell, F. E. (2017) · Statistics in Medicine

Statistical Methods and Bayesian InferenceProbability and Statistical Research

Cited by 208

More about the basic assumptions of t-test: normality and sample size

Kim, T. K., & Park, J. H. (2019) · Korean Journal of Anesthesiology

Probability and Statistical ResearchStatistical Methods in Epidemiology

Cited by 208

Assessing the burden of COVID-19 in developing countries: systematic review, meta-analysis and public policy implications

Levin, A. T., Owusu-Boaitey, N., Pugh, S., Fosdick, B. K., Zwi, A. B., Malani, A., Soman, S., Besançon, L., Kashnitsky, I., Ganesh, S., et al. (2022) · BMJ Global Health

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

Cited by 208

Estimation and extrapolation of optimal treatment and testing strategies

Robins, J., Orellana, L., & Rotnitzky, A. (2008) · Statistics in Medicine

Advanced Causal Inference TechniquesStatistical Methods in Clinical Trials

Cited by 208

Quantifying and Comparing Phylogenetic Evolutionary Rates for Shape and Other High-Dimensional Phenotypic Data

Adams, D. C. (2014) · Systematic Biology

Morphological variations and asymmetryEvolution and Paleontology Studies

Cited by 207

The relatively young and rural population may limit the spread and severity of COVID-19 in Africa: a modelling study

Diop, B. Z., Ngom, M., Pougué Biyong, C., & Pougué Biyong, J. N. (2020) · BMJ Global Health

COVID-19 epidemiological studiesMathematical and Theoretical Epidemiology and Ecology Models

Cited by 207

All in the family: Comparing siblings to test causal hypotheses regarding environmental influences on behavior

Lahey, B. B., & D’Onofrio, B. M. (2010) · Current Directions in Psychological Science

Advanced Causal Inference TechniquesStatistical Methods and Bayesian Inference

Cited by 207

Case-Control Designs in the Study of Common Diseases: Updates on the Demise of the Rare Disease Assumption and the Choice of Sampling Scheme for Controls

RODRIGUES, L., & KIRKWOOD, B. R. (1990) · International Journal of Epidemiology

Statistical Methods in EpidemiologyAdvanced Causal Inference Techniques

Cited by 207

The Largest Eigenvalue of Sparse Random Graphs

KRIVELEVICH, M., & SUDAKOV, B. (2003) · Combinatorics, Probability and Computing

Graph theory and applicationsLimits and Structures in Graph Theory

Cited by 207

Linear Mixed Effects Models

Oberg, A. L., & Mahoney, D. W. (2007) · Methods in Molecular Biology™

Statistical Methods and Bayesian InferenceAgriculture, Soil, Plant Science

Cited by 207

The utility of modeling and simulation in drug development and regulatory review

Huang, S.-M., Abernethy, D. R., Wang, Y., Zhao, P., & Zineh, I. (2013) · Journal of Pharmaceutical Sciences

Statistical Methods in Clinical TrialsPharmaceutical studies and practices

Cited by 206

Reporting methods in studies developing prognostic models in cancer: a review

Mallett, S., Royston, P., Dutton, S., Waters, R., & Altman, D. G. (2010) · BMC Medicine

Statistical Methods in EpidemiologyMeta-analysis and systematic reviews

Cited by 206

Sampling

Lohr, S. L. (2019) · CRC Press

Survey Sampling and Estimation TechniquesSurvey Methodology and Nonresponse

Cited by 206

Comparisons of methods for multiple hypothesis testing in neuropsychological research

Blakesley, R. E., Mazumdar, S., Dew, M. A., Houck, P. R., Tang, G., Reynolds, C. F., & Butters, M. A. (2009) · Neuropsychology

Statistical Methods in Clinical TrialsStatistical Methods and Bayesian Inference

Cited by 206

PowerUp!: A Tool for Calculating Minimum Detectable Effect Sizes and Minimum Required Sample Sizes for Experimental and Quasi-Experimental Design Studies

Dong, N., & Maynard, R. (2013) · Journal of Research on Educational Effectiveness

Advanced Causal Inference TechniquesStatistical Methods in Clinical Trials

Cited by 206