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Daniel Bloch received his PhD in Mathematical Statistics in 1967 and joined the research community at Stanford University School of Medicine in 1984, where he served as the head statistician directing biostatistics consulting and analytic support for the Arthritis Rheumatism Aging Medical Information System (ARAMIS) and the Multipurpose Arthritis Center (MAC) grant-related research programs. He was appointed Associate Professor in 1993 with a joint appointment in the Departments of Medicine and Health Research & Policy, and became a Professor of Biostatistics at Stanford University in 2007, currently holding emeritus status. His contributions to the statistics literature cover numerous fields, particularly methods concerning sample size estimation, efficiency bias estimators, and non-parametric classification methods. He has over 200 peer-reviewed publications and has been directly involved in developing classification criteria for diseases and establishing clinical trial research guidelines. Bloch has consulted for pharmaceutical and biotechnical firms, contributing his extensive experience in implementing statistical methodologies in investigational plans, including trial design and protocol development. He has also served as a member of the FDA Statistical Advisors Panel and as a statistical member of various data safety monitoring boards, representing companies in meetings with the FDA.
Stanford University • Stanford, CA
Served as a Professor of Biostatistics with contributions to biostatistical consulting, research methods, and teaching.
Stanford University • Stanford, CA
Held a joint appointment in the Departments of Medicine and Health Research & Policy.
Stanford University • Stanford, CA
Directed biostatistics consulting and analytic support for various research programs.
The Computer Science department emphasizes research potential. GRE General is currently optional but recommended for some tracks.