文件夹
概率逻辑
冠军
项目组合管理
计算机科学
风险分析(工程)
管理科学
现代投资组合理论
运筹学
应用程序组合管理
精算学
经济
项目管理
业务
工程类
人工智能
管理
财务
法学
政治学
作者
Stig Johan Wiklund,Katharine Thorn,Heiko Götte,Kimberley E. Hacquoil,Gaëlle Saint‐Hilary,Alex Carlton,the European Special Interest Group on Quantitative Decision‐Making
摘要
The pharmaceutical industry is plagued with long, costly development and high risk. Therefore, a company's effective management and optimisation of a portfolio of projects is critical for success. Project metrics such as the probability of success enable modelling of a company's pipeline accounting for the high uncertainty inherent within the industry. Making portfolio decisions inherently involves managing risk, and statisticians are ideally positioned to champion not only the derivation of metrics for individual projects, but also advocate decision-making at a broader portfolio level. This article aims to examine the existing different portfolio decision-making approaches and to suggest opportunities for statisticians to add value in terms of introducing probabilistic thinking, quantitative decision-making, and increasingly advanced methodologies.
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