Statistics in Medicine
About
The 10.4k papers published in Statistics in Medicine in the last decades have received a total of 450.8k indexed citations.
Papers published in Statistics in Medicine usually cover Statistics and Probability (7.3k papers), Economics and Econometrics (1.9k papers) and Management Science and Operations Research (1.3k papers) specifically the topics of Statistical Methods in Clinical Trials (3.9k papers), Statistical Methods and Bayesian Inference (3.6k papers) and Statistical Methods and Inference (3.1k papers). The most active scholars publishing in Statistics in Medicine are Julian P. T. Higgins, Simon G. Thompson, Peter C. Austin, Ralph B. D’Agostino, Patrick Royston, Robert G. Newcombe, Ian R. White, Frank E. Harrell, Robert Tibshirani and Kerry L. Lee.
In The Last Decade
Fields of papers published in Statistics in Medicine
Since SpecializationEngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics
This network shows the specialization of papers published in Statistics in Medicine. Nodes represent fields, and links connect fields that are likely to share authors.
Countries where authors publish in Statistics in Medicine
Since SpecializationTotal citations of papers
This map shows the geographic distribution of research published in Statistics in Medicine. It shows the number of citations received by papers published by authors working in each country. You can also color the map by specialization and compare the number of papers published in Statistics in Medicine with the expected number of papers based on a country's size and research output (numbers larger than one mean the country's share of papers is larger than expected).
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