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Biostatistics
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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:
Our professional degree program prepares students with a prior professional degree or background in health to understand and apply statistical methods to health problems in their fields:

 

Biostats student Zhe Sun awarded 2-year fellowship by Children's Hospital

Pitt biostatistics doctoral st...
Biostats student Zhe Sun awarded 2-year fellowship by Children's Hospital

Pitt biostatistics doctoral student ZHE SUN, co-advised by WEI CHEN and YING DING, has been awarded a 2-year Research Advisory Committee fellowship for 2017-18 supported by Children's Hospital of Pittsburgh. Congratulations Zhe! (01/30/2017)

Biostats student TIANZHOU MA wins travel award attend JSM

The paper, "Biomarker detectio...
Biostats student TIANZHOU MA wins travel award attend JSM

The paper, "Biomarker detection and categorization in RNA-seq meta-analysis using Bayesian hierarchical model" by doctoral student TIANZHOU MA (BIOS '18) has won a travel award in the SBSS 2017 Student Paper Competition to attend the Joint Statistical Meetings in Baltimore (July 29 through Aug, 2017... (01/13/2017)

Jeanine Buchanich promoted to research associate professor.

The Department of Biostatistic...
Jeanine Buchanich promoted to research associate professor.

The Department of Biostatistics is pleased to announce the promotion of JEANINE M. BUCHANICH Ph.D., M.Ed., to research associate professor. Buchanich joined the faculty of Pitt Public Health in 2008 in the department of Biostatistics. Dr. Buchanich is leading an initiative to make a Pitt Public Heal... (01/13/2017)

Biostatistics student wins first place in JSM poster competition

Biostatistics doctoral student...
Biostatistics student wins first place in JSM poster competition

Biostatistics doctoral student ZHONGYING XU was awarded first place in the JSM 2016 Biopharmaceutical Section Student Poster Award Competition for her submission "Optimal Sample Size Determination for Adaptive Seamless Phase II/III Design." (01/12/2017)

CNN Money's "100 Best Jobs in America" ranks biostatistician as #1 fastest-growing job

CNN MONEY - In a special repor...
CNN Money's "100 Best Jobs in America" ranks biostatistician as #1 fastest-growing job

CNN MONEY - In a special report on the top 100 careers with big growth, great pay and satisfying work, CNN Money and Payscale.com rank biostatistician as #1 among the Fastest-growing jobs . The report projects a solid 34% growth in demand for biostatisticians over 10 years and gives the field a... (01/06/2017)
Thu
3/2
Biostatistics Seminar Series
Rebecca Hubbard, Penn - Using Electronic Health Records to Advance Research on the Cancer Care ... Biostatistics Seminar Series
Rebecca Hubbard, Penn - Using Electronic Health Records to Advance Research on the Cancer Care ...
Thu 3/2 3:30PM - 4:30PM
Public Health Auditorium (G023)

Biostatistics Seminar speaker, Rebecca Hubbard, PhD,  Associate Professor Biostatistics and Epidemiology, Perelman School of Medicine, University of Pennsylvania, will present, “Using Electronic Health Records to Advance Research on the Cancer Care Continuum”.
Mon
3/13
PHDL Seminar Series
Sara Del Valle: "Real-Time Social Internet Data to Guide Disease Forecasting Models"Sara Del Valle: "Real-Time Social Internet Data to Guide Disease Forecasting Models" PHDL Seminar Series
Sara Del Valle: "Real-Time Social Internet Data to Guide Disease Forecasting Models"
Mon 3/13 12:00PM - 1:00PM
Public Health A521

Sara Del Valle, PhD, is a scientist at Los Alamos National Laboratory. Her research focuses on using mathematical and computational approaches to improve our understanding of human behavior and its impact on disease spread. Most recently, she has been investigating the role of Internet data on monitoring
and forecasting disease spread and disease-related behaviors.

Thu
3/30
Biostatistics Seminar Series
Martin Lindquist, Johns Hopkins - High-dimensional Multivariate Mediation... Biostatistics Seminar Series
Martin Lindquist, Johns Hopkins - High-dimensional Multivariate Mediation...
Thu 3/30 3:30PM - 4:30PM
Public Health Auditorium (G023)

Biostatistics Seminar speaker, Martin A. Lindquist, PhD, Professor, Biostatistics, Johns Hopkins University, will present, “High-dimensional Multivariate Mediation with Application to Neuroimaging Data”.
© 2017 by University of Pittsburgh Graduate School of Public Health

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