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BST 217 - Statistical and Quantitative Methods for Pharmaceutical Regulatory Science or return to Course Catalog Search

190134 – Section 1   

SchoolDepartmentFaculty
Harvard T.H. Chan School of Public HealthBiostatisticsMarcia Testa
TermDay and TimeLocation
Spring 2 2018  (show academic calendar)TuTh   3:45 p.m. - 5:15 p.m.Kresge 200 (HSPH)
Credits
2.5  (show credit conversion for other schools)
Credit Level
Graduate

Description
The goal of this course is to enable scientists and public health professionals who already have an introductory background in biostatistics and clinical trials to acquire the competencies in quantitative skills and systems thinking required to understand and participate in drug development and regulatory review processes. The course illustrates how statistical and quantitative methods are used to transform information into evidence demonstrating the safety, efficacy and effectiveness of drugs and devices over the course the product's life cycle from a regulatory perspective. Content is delivered using a blended-learning approach involving lectures, web-based media and selected case study examples derived from actual FDA decision-making and regulatory assessments to highlight and describe each phase of the regulatory drug approval process. Case studies will illustrate regulatory science in action and practice and will include content publically available from the FDA's website that can be used in conjunction with FDA science-based guidances and decision precedents. Course Prerequisites: ID538 or PHS2000A or {[ID201 or BST201 or (BST202 & BST203) or (BST206 & (BST207 or BST208)] and (EPI201 or EPI208)}Formerly BIO523

Prerequisite(s)
Prerequisite: ID 538 or PHS2000A or {ID201 or BST201 or (BST202 & BST203) or [BST206 & (BST207 or BST208)] and (EPI201 or EPI208)}

 
Cross Registration
Eligible for cross-registration
With permission of instructor/subject to availability

MIT students please cross register from MIT's Add/Drop application.

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