PROJECT SUMMARY/ABSTRACT The Biostatistics Shared Resource (Biostats) is an integral component of the Laura and Isaac Perlmutter Cancer Center (PCC) that provides state-of-the-art statistical collaboration and consultation to PCC members across the entire spectrum of the research process, from basic and translational investigation to clinical trials to observational and population-based research. Judith D. Goldberg, ScD, Professor of Biostatistics in the Department of Population Health leads Biostats, with Co-director Judy Zhong, PhD, Professor of Biostatistics, and senior faculty member Yongzhao Shao, PhD, Professor of Biostatistics. Two additional faculty and three research staff in the Division of Biostatistics at NYU Grossman School of Medicine (NYUGSoM) participate to provide statistical support dedicated to PCC members. Biostats collaborates with all PCC Research Programs, with PCC Disease Management Groups, and with other PCC Shared Resources (SR). We provide statistical expertise in research study design, conduct, analysis, interpretation, and reporting of results for laboratory studies (in vitro, in vivo), clinical trials, and observational studies, including population-based studies. Biostats faculty have developed and continue to develop methodologies that are central to new directions in laboratory- based, clinical, translational, and population-based cancer research. We also provide education on statistical concepts and study design to members and their collaborators. During the current funding period, Biostats supported 34 active extramurally funded grants (26 with salary support), and contributed to 111 collaborative and methodologic publications in leading journals. Biostats, like other SRs, is overseen by the Division for Advanced Research Technologies (DART), has an Advisory Board, and is subject to annual surveys to ensure alignment with PCC needs. The Specific Aims of Biostats are: 1) to provide state-of-the-art statistical collaboration and support in the design, conduct, analysis, interpretation, and reporting of basic, translational, clinical, and cancer-related epidemiological and prevention research, 2) to support the PCC Clinical Trials Office for informatics, clinical protocol development and implementation, data management processes and procedures, and data safety monitoring, 3) to develop innovative statistical methods and approaches to address new research directions of PCC members, in areas that include, but are not limited to, the design and analysis of translational studies, statistical genetics and genomics, and emerging technologies, and 4) to provide training and mentoring to PCC members and staff in statistical concepts related to study design, analysis, and interpretation of all types of cancer research studies.