生物统计学
商业化
新产品开发
数据科学
产品(数学)
过程(计算)
工程类
计算机科学
资源(消歧)
知识管理
医学
业务
营销
数学
公共卫生
几何学
操作系统
计算机网络
护理部
作者
Lois S. Peters,Richard E. Burke,S Mehta
标识
DOI:10.1109/picmet.2001.952268
摘要
This exploratory paper investigates the infrastructure for life-science-based new product development. The practice of biostatistics has long been seen as a crucial element of the regulatory process for approving the release of new drugs and medical devices, but the authors hypothesize that it serves a larger role in the new product development process in pharmaceutical and biotechnology firms. To this end, they focus on the management of Biostatistics and related know how such as data mining in the discovery, testing, and commercialization of new products. Their results are drawn from a number of in-depth case studies of biostatistical practices in a variety of firms engaged in life-science product development. The findings point to the importance of biostatistics in providing both technical and strategic information. To the extent that Biostatistics is managed as a learning system, it is critical for building core capability and enabling resource configurations that create value.
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