About the Department
Department of Biostatistics at NYU GPH is engaged in three inter-related activities that aim to improve Public Health through rigorous research and that educate future practitioners, leaders and researchers. We strive for excellence in:
- innovative and groundbreaking methodological research that is relevant to critical Public Health research
- collaborative research in pressing and important Public Health issues;
- education and training of students from diverse backgrounds in cutting edge statistical methods for design and analysis of studies used in Public Health research, as well as theoretical foundations that will serve as the basis for future innovations.
We are experiencing major events in Public Health and Biostatistics has many critical contributions to make. We welcome you to our department and invite you to explore all of our facets in these webpages.
- Dr. Yang Feng has been awarded a R21 grant from the NIH/NIA for the following project "Multiclass classification under prioritized error control and specific error costs with applications to dementia classification”.
- Dr. Melody Goodman has been elected to become an American Statistical Association fellow. We are happy to announce this prestigious achievement! Dr Goodman commitment to diversifying statistics is in shown through her work in higher ed and research.
- The Caucus for Women in Statistics (CWS) has named our department's Dr. Melody Goodman as the inaugural winner of the CWS-SIA (The Societal Impact Award) "for her outstanding dedication to improving health disparities through education in public health and data literacy"! We congratulate her on having earned this honor, and thank her for all of her contributions to our department, school, field, and beyond.
- Congratulations to the Class of 2021! Our graduates have done incredible work throughout their time in our program, culminating in their Masters' Theses, many of which you can find on our Biostatistics Student Theses page.
- We would like to congratulate the following students whose theses have been recognized for outstanding achievement:
- Meng Chen, MPH - Adherence to non-pharmaceutical interventions for COVID-19 due to media-based information during the pandemic in Southern U.S. cities, recognized for innovative topic or approach (Slides)
- Xiangying (Claire) Chu, MS - Dietary Supplement Intake and Cognitive Performance in Older Adults: A Cross-Sectional Study from the National Health and Nutrition Examination Survey (NHANES), recognized for innovative topic or approach.
- Kehang Li, MS - Analysis of Non-pharmaceutical Interventions effectiveness in COVID-19 pandemic in the United States, recognized for rigor of statistical analyses (Slides)
- Chenggang (Louis) Lyu, MS - An Automatic Deep Learning-based Algorithm For 3D MRI Brain Tumor Segmentation That Is Comparable to Manual Annotation, recognized for innovative topic or approach (Slides)
- Yao Xin, MS - Association between Food Security and Generalized Anxiety Disorder among males and females in the United States, recognized for impactful substantive findings
- Qiuyun Yao, MS - Proportional Hazard Pattern Affects Measurement by Restricted Mean Analysis, recognized for rigor of statistical analyses
- (Archived news items)
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Christopher Park, MPH '19
"Critical and conceptual understanding of data is necessary for public health research. My biostatistics courses have helped me to develop statistical analytic skills that shape the way I think about data management and utilization in a way that’s fit for public health discoveries."
Ejiro Gbaje, MPH '19
"I am fascinated by the power of biostatistics; it uses mathematics to paint pictures of underlying conditions."
Yan Zhang, MPH '19
"The ability to extract health-related patterns from uncertainty is the undeniable beauty of biostatistics."