Student Research

The Department of Biostatistics maintains a balance between statistical theory and its application to real-world problems. An important part of student training is interaction with faculty on research projects. The following are examples of student research topics:

  • Evaluation of Lung Cancer Risk in Relation to Acrylonitrile Exposure with Control for Potential Confounding by Smoking via Monte Carlo Simulation
  • Evaluation of Non-Response in a Case-Control Study of Brain Cancer among Jet Engine Manufacturing Workers
  • Inference on Conditional Quantile Residual Life Functions
  • Inference on Quantile Residual Life Function for Length-Biased Sample
  • Review and Comparison of Statistical Methods for Analyzing Data Sets Containing Variables With Detection Limits
  • Statistical Inference Based on Functional Depths under Competing Risks
  • A Stochastic EM Algorithm for G-Rho Family Accelerated Failure Time Model with Random Effects

Professional Development Opportunities

In addition to formal course work, biostatistics students may participate in research projects that contribute to professional development. Examples include the following:

  • Become a graduate student researcher (GSR). In addition to financial support and a tuition waiver for course work, a GSR provides the opportunity to collaborate with investigators in other research disciplines. PhD students are eligible for GSRs, however the department does not provide funding for MS students. Factors considered in the awarding of funding include undergraduate GPA, GRE scores, prior experience, and letters of recommendation. Many MS/MPH students obtain jobs in the University or surrounding area performing data analysis and other statistical tasks. The department circulates job advertisements when available to all students . Read more about the GSR on the financial aid page.
  • Develop your oral presentation skills in BIOST 2058: Scientific Communication Skills and/or by presenting in research working groups, at professional meetings, or at the annual Dean’s Day competition.
  • Attend the department’s seminar series as well as seminars sponsored by the statistics departments at Pitt or nearby Carnegie Mellon University.
  • Attend the Pittsburgh chapter of the American Statistical Association events and interact with faculty and students from different academic statistical programs in Pittsburgh as well as statisticians from local industry.