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Biostatistics
biostatistics

One of the Top Biostatistics Programs

Who Can Determine
Whether a Medical
Treatment Will Work?
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Welcome from the Chair

Welcome to the Department of Biostatistics from Shyamal D. Peddada, PhD

Our Faculty

Our Faculty

Meet our faculty and learn about the innovative research projects they are directing.

Meet our faculty
Our Research Centers

Our Research Centers

Get involved in our research centers, where you can join a research project or help translate findings into practice and policy.

See our centers

Biostatistics Programs

Biostatistics is an innovative field that involves the design, analysis, and interpretation of data for studies in public health and medicine. Biostatistics experts arrive at conclusions about disease and health risks by evaluating and applying mathematical and statistical formulas to the factors that impact health.

Students at Pitt Public Health benefit from collaboration with UPMC, Pennsylvania’s largest academic medical center, and have access to extensive University computing facilities. Through rigorous courses, students gain a comprehensive understanding of statistical methods in the context of public health and medical problems; work with faculty on developing new and innovative methodologies and analytical techniques; and have the opportunity through both research and service to apply these methods to current and pressing concerns in biomedicine and public health.

Find a research program for your interests

Faculty currently have numerous ongoing research projects in place and publish actively in scholarly journals. Collaborative and applied research efforts include...
  • Designing and analyzing 80,000 patients in more than 40 Phase 3 clinical trials of the National Adjuvant Breast and Bowel Project
  • Serving as the biostatistical core for the University of Pittsburgh Cancer Institute, which is a National Institutes of Health-designated Comprehensive Cancer Center
  • Designing and evaluating studies that relate to occupational and environmental exposures to health outcomes with the Center for Occupational Biostatistics and Epidemiology
  • Designing and analyzing clinical trials to treat psychiatric disorders
Areas of current research in statistical methodology include...
  • Survival analysis
  • Missing data analysis
  • Receiver operating characteristic (ROC) curve analysis
  • Stochastic modeling
  • Statistical computing
  • Statistical genetics

Pursue a career in biostatistics

Graduates of Pitt Public Health’s internationally recognized biostatistics programs are in high demand and have a wide array of career opportunities. Emerging research areas, such as genetics, neuroimaging, and bioinformatics, have necessitated the development of new methodologies and increased the demand for trained biostatisticians. The need has grown substantially in recent years within academic, government, and industry settings, as well as in private health and research organizations.

Degrees

Biostatistics offers two academic degrees, which focus on statistical theories and methods:

 

Youk elected to International Statistical Institute

Congratulations to BIOST's Ad...
Youk elected to International Statistical Institute

Congratulations to BIOST's Ada Youk who was recently elected to the International Statistical Institute (ISI). The ISI Mission is to lead, support and promote the understanding, development and good practice of statistics worldwide, by providing the core global network for statistics. (10/09/2018)

Biostatistics and Biomedical Informatics hold joint retreat

Pitt's departments of biostat...
Biostatistics and Biomedical Informatics hold joint retreat

Pitt's departments of biostatistics and biomedical informatics held a half-day joint faculty retreat to share respective areas of work, identify common interests, and foster collaborations in research and education. (09/26/2018)

Changing dynamics of the drug overdose epidemic in the United States from 1979 through 2016

SCIENCE - In an effort to und...
Changing dynamics of the drug overdose epidemic in the United States from 1979 through 2016

SCIENCE - In an effort to understand the epidemic dynamics and perhaps predict its future course, Pitt Public Health researchers analyzed records of nearly 600,000 overdose deaths. Dean DONALD BURKE, HPM's HAWRE JALAL, and colleagues concluded that the U.S. drug overdose epidemic has been inexorabl... (09/21/2018)

Faculty Spotlight: Lu Tang

LU TANG joined the Department...
Faculty Spotlight: Lu Tang

LU TANG joined the Department of BIOSTATISTICS as an assistant professor on August 1. He received his PhD in biostatistics from the University of Michigan. He is developing an outstanding research program in statistical machine learning and methods for modern high dimensional data. These are extrem... (08/24/2018)

Buchanich Finds 70K Opioid-Related Deaths Likely Went Unreported

ASPPH FRIDAY LETTER - Several...
Buchanich Finds 70K Opioid-Related Deaths Likely Went Unreported

ASPPH FRIDAY LETTER - Several states are likely dramatically underestimating the effect of opioid-related deaths because of incomplete death certificate reporting, with Pennsylvania leading the pack, according to a new analysis by Pitt Public Health. “Proper allocation of resources for the opioid e... (07/19/2018)
Fri
10/19
Biostatistics Event
"NEW" School-wide Coffee and Collaboration Hour hosted by Biostatistics Biostatistics Event
"NEW" School-wide Coffee and Collaboration Hour hosted by Biostatistics
Fri 10/19 2:00PM - 3:00PM
A521 Public Health

Join us for a Coffee and Collaboration Hour where interested faculty will have the opportunity to give a short, informal presentation to introduce their research program and problems. Open to all students and faculty.

Thu
10/25
PHDL Conference
Pre-Conference Behavior Modeling Workshop - FRED (a Framework for Reconstructing Epidemiological Dy Pre-Conference Behavior Modeling Workshop - FRED (a Framework for Reconstructing Epidemiological Dy PHDL Conference
Pre-Conference Behavior Modeling Workshop - FRED (a Framework for Reconstructing Epidemiological Dy
Thu 10/25 12:00PM - 5:00PM
1149 Public Health, Foster Conference Room

In this hands-on workshop, learn to use FRED (Framework for Reconstructing Epidemiological Dynamics), a flexible, agent-based modeling platform that can be used to model diverse situations, including infectious diseases, chronic conditions, demographic changes at the population level, and the effects of human behavior. Workshop participants will become familiar with the FRED platform, learn the basics of incorporating and simulating agent behavior in simulation models, and create and run their own behavioral models using FRED Web, an online interface in which FRED models can be designed, run, and analyzed.

FRED can be used to predict outcomes of an epidemic, such as epidemic curves and disease incidence, and is a tool for evaluating interventions, such as school closure, social distancing and changes in vaccination behavior.  Using census-based statistically representative synthetic populations, FRED captures the demographic and geographically heterogeneous characteristics of actual populations, including realistic neighborhood, household, school and workplace social networks.

Thu
10/25
Biostatistics Seminar Series
Dana L. Tudorascu, University of Pittsburgh Biostatistics Seminar Series
Dana L. Tudorascu, University of Pittsburgh
Thu 10/25 3:30PM - 4:30PM
Public Health Auditorium (G23)

Dana Tudorascu, Division of General Internal Medicine, Department of Medicine, University of Pittsburgh, will present, “Technical Challenges in the Statistical Analysis of Neuroimaging Studies of Alzheimer's Disease”.
Fri
10/26
PHDL Conference
Grand Rounds Modeling Social Dynamics & Health Behavior ConferenceGrand Rounds Modeling Social Dynamics & Health Behavior Conference PHDL Conference
Modeling Social Dynamics & Health Behavior Conference
Fri 10/26
University Club - Ballroom A

Presented by Pitt Public Health's Center for Social Dynamics & Community Health and Public Health Dynamics Laboratory, and the Pitt Clinical and Translational Science Institute's Biomedical Modeling Core, this conference will bring together national leaders from across the country to discuss the integration of modeling approaches into the field of behavioral and community health sciences. Through panel discussions and breakout sessions, attendees will learn about existing research, discuss associated challenges and opportunities, and chart a path forward for this emerging field. Registration is required; no cost.

Thu
11/1
Biostatistics Seminar Series
Jingyi (Jessica) Li, University of California, Los Angeles Biostatistics Seminar Series
Jingyi (Jessica) Li, University of California, Los Angeles
Thu 11/1 3:30PM - 4:30PM
Public Health Auditorium (G23)

Jingyi (Jessica) Li, Department of Statistics and Department of Human Genetics, University of California, Los Angeles, will present, “Neyman-Pearson Classification Algorithms and NP Receiver Operating Characteristics”.
© 2018 by University of Pittsburgh Graduate School of Public Health

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