About 37 results
Open links in new tab
  1. Course Descriptions - Biostatistics - University at Buffalo

    Issues involving whole-genome analysis, model selections for genetic architecture and advanced statistical pattern recognition tools. Topics: Bayesian modeling for genomic data; MCMC and …

  2. Program Schedule - Biostatistics - University at Buffalo

    401 Kimball Tower Buffalo, New York 14214 Phone: (716) 829-5000

  3. Requirements and Curriculum - University at Buffalo

    STA 536 Statistical Design and Analysis STA 537 Sequential Analysis STA 545 Data Mining I STA 546 Data Mining II STA 551 Stochastic Processes STA 561 Longitudinal Data Analysis …

  4. Abstracts - Biostatistics - University at Buffalo

    1.  A Mixture of Heterogeneous Models with Dirichlet Time-Varying

  5. Course Descriptions - Biostatistics - University at Buffalo

    Introduces basic principles of probability and distribution theory and statistical inference. Topics include axioms of probability theory, independence, conditional probability random variables, …

  6. Tutorials - Biostatistics - University at Buffalo

    Title: Community Detection in Complex Networks.

  7. Faculty Research Interests - University at Buffalo

    Our faculty research spans a range of topics, including empirical likelihood approaches, computationally intensive methods, statistical methods in diagnostic studies ...

  8. Course Descriptions - Biostatistics - University at Buffalo

    Statistical tools for analyzing experiments involving genomic data.  Topics: Basic genetics and statistics, linkage analysis and map construction using genetic markers, association …

  9. Requirements and Curriculum - University at Buffalo

    The master’s of science degree requires a minimum of 36 credit hours of coursework. Additional program requirements include participating in a practical training project, and …

  10. Research and Facilities - Biostatistics - University at Buffalo

    Our department has an active and well-funded research program that is dedicated to advancing knowledge in the field substantively and methodologically.