Nicola Orsini

Nicola Orsini

Principal Researcher | Docent
Visiting address: Solnavägen 1 E, 11365 Stockholm
Postal address: K9 Global folkhälsa, K9 GPH Burström, 171 77 Stockholm
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About me

  • Researcher and teacher of statistical sciences in the fields of medical and global public health sciences.

    Nicola Orsini, Ph.D. is Principle Researcher, Associate Professor of Medical Statistics, and Head of the Biostatistics Team at the Department of Global Public Health, Karolinska Institutet. Dr. Orsini has worked for more than 15  

  • years on development and application of quantitative methods widely used in medical and epidemiological research, including dose-response meta-analysis, sensitivity analysis, time-to-event analysis, quantile analysis, and intervention time-series analysis, leading to the publication of more than 250 research articles (H-index=79, i10-index=174).

    His awards include the 2009 Torgny Wännström Prize for the best doctoral thesis in the field of public health from the Swedish Medical Association. In recognition of exceptional research performance demonstrated by multiple highly cited papers, Dr. Orsini has been named by Web of Science (Clarivate Analytics) among the world's most top-cited (top 1%) scientists whose research leads the world in the field of Social Science for seven consecutive years (2017-2023).

    He developed, documented, and freely shared several statistical software components in the Stata language. Dr. Orsini is a fellow of the Royal Statistical Society. In 2020 Dr. Orsini has been elected member of the Society of Research Synthesis Methodology. He served in the Executive Board of the Strategic Research Program in Epidemiology at Karolinska Institutet between 2015 and 2021.

    2023 Highly Cited Researcher. My research ranks among the top 1% most cited works in the Cross Field. Clarivate Analytics. Web of Science.

    2022 Highly Cited Researcher. My research ranks among the top 1% most cited works in the field of Social Sciences. Clarivate Analytics. Web of Science.

    2021 Highly Cited Researcher. My research ranks among the top 1% most cited works in the field of Social Sciences. Clarivate Analytics. Web of Science.

    2020 Highly Cited Researcher. My research ranks among the top 1% most cited works in the field of Social Sciences. Clarivate Analytics. Web of Science.

    2020 Elected Member of the Society of Research Synthesis Methodology.

    2019 Highly Cited Researcher. My research ranks among the top 1% most cited works in the field of Social Sciences. Clarivate Analytics. Web of Science.

    2018 Highly Cited Researcher. My research ranks among the top 1% most cited works in the field of Social Sciences. Clarivate Analytics. Web of Science.

    2017 Highly Cited Researcher. My research ranks among the top 1% most cited works in the field of Social Sciences. Clarivate Analytics. Web of Science.

    2012 Young Scholar Award from the Karolinska Institutet's Strategic Program in Epidemiology. Development of novel procedures in epidemiology: A percentiles-based approach to analyse continuous outcomes.

    2010 Young Scholar Award from the Karolinska Institutet's Strategic Program in Epidemiology. Developing user-friendly statistical methods for health researchers.

    2009 Torgny Wännström Prize. For the best doctoral thesis in the medical field of public health. Nominations submitted by the medical faculties of the universities and the Swedish Medical Society's research mission appoints award winner.

Research

  • He is best known for his work on dose-response meta-analysis based on observational and experimental findings. A book chapter on this topic is with Donna Spiegelman, Professor Emerita of Epidemiologic Methods at Harvard School of Public Health. Handbook of Meta-Analysis, Chapman &

  • Hall/CRC Handbooks of Modern Statistical Methods, 2020). Another book chapter with Professors Susanna C. Larsson (KI) and Georgia Salanti (University of Bern) is available in Systematic Reviews in Health Research: Meta-Analysis in Context. The Third Edition. 2022.

    Current doctoral student

    • Robert Theismeier - Simulation methods for design and analysis of prospective meta-analysis of individual participant data

     

  • Previous doctoral and postdoctoral students

    • Alessio Crippa - Development of novel statistical methods for meta-analysis
    • Andrea Bellavia - A percentile approach to time-to-event outcomes
    • Andrea Discacciati - Risk factors for prostate cancer: analysis of primary data, pooling, and related methodological aspects
    • XingWu Zhou - Methods for intervention time-series analysis

Teaching

  • Master Program in Public Health

    • Course Director "Biostatistics I" (5 weeks)
    • Course Director "Biostatistics II" (5 weeks)

     

  • Doctoral Program in Epidemiology

    • Course Director of "Fundamentals of Stata language" (1 week)
    • Course Director of "Fundamentals of using Python in Health Related Research" (1 week)
    • Course Director of "Biostatistics II: Logistic regression for  
    • Epidemiologists" (1 week)

Selected publications

Articles

All other publications

Grants

Employments

  • Principal Researcher, Department of Global Public Health, Karolinska Institutet, 2022-

Degrees and Education

  • Docent, Karolinska Institutet, 2011
  • Degree Of Doctor Of Philosophy, Institute of Environmental Medicine, Karolinska Institutet, 2008
  • Licentiate Degree, Institute of Environmental Medicine, Karolinska Institutet, 2006

Supervisor

  • Ehrlinder Hanne, Förmaksflimmer: Risker och vinster med antikoagulation hos äldre

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