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  • 2/14/22 About Biostatistics
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  • 2/14/22 About Biostatistics
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About Biostatistics
  • Why Choose Biostatistics at UB?
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  • Jihnhee Yu, PhD.
    "My work heavily involves population based data sets, mining information from them to enhance knowledge and practice of public health."
    11/15/21

    Jihnhee Yu, PhD
    Professor
    Director, Population Health Observatory

  • Albert Vexler.
    "I collaborate extensively with NIH investigators evaluating practical aspects of new biomarker methodologies."
    11/15/21

    Albert Vexler, PhD
    Professor

  • Rachael Hageman Blair.
    "It’s a high-risk, high-impact project that has the potential to bring us closer to personalized medicine and, in particular with this project, to leverage computational biology to make predictions about things we can’t measure.”
    11/15/21

    Rachael Hageman Blair, PhD
    Associate Professor

     

  • Chang-Xing Ma, PhD.
    "The focus of my statistical research has primarily resided in four broad areas such as experimental designs, statistical genetics, small sample inference, and paired binary data inference."
    8/28/19

    Chang-Xing Ma, PhD
    Co-Director, Biostatistics MPH Concentration
    Associate Professor

  • Lili Tian, PhD.
    "My current research focuses on developing new diagnostic measures and new evaluation methods for measuring biomarkers’ performance."
    1/19/18

    Lili Tian, PhD
    Associate Chair
    Director of Graduate Studies
    Professor

  • Guan Yu, PhD.
    "Our proposed variable selection and statistical inference methods can be used to identify important genes for cancer research."
    5/1/23

    Guan Yu, PhD
    Assistant Professor

Funded Research

previous next
  • Marianthi Markatou, PhD, SUNY Distinguished Professor in the Department of Biostatistics in UB’s School of Public Health and Health Professions.
    PCORI awards $1 million to UB researcher to use AI in analyzing social determinants of health
    11/18/25
  • This project focuses on the preparation and writing of a book that will reflect a growing need for rigorous systematic presentations of classical and novel empirical likelihood (EL) approaches and their applications in biomedicine and health.
    Modern Empirical Likelihood Methods in Biomedicine and Health
    11/18/25

Biostatistics at a glance

Undergraduate

  • Statistics Minor
  • Statistics BA

Graduate and Professional

  • Bioinformatics and Biostatistics MS
  • Biostatistics MA
  • Biostatistics MPH
  • Biostatistics PhD

Certificates

  • Advanced Graduate Certificate in Applied Biostatistics
  • Advanced Graduate Certificate in Biostatistical Informatics

Number of Faculty

  • 13 core faculty
  • 24 affiliated faculty
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