Real World Evidence in Drug Development and Evaluation is popular PDF and ePub book, written by Harry Yang in 2021-01-11, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Real World Evidence in Drug Development and Evaluation can be Read Online from any device for your convenience.

Real World Evidence in Drug Development and Evaluation Book PDF Summary

Real-world evidence (RWE) has been at the forefront of pharmaceutical innovations. It plays an important role in transforming drug development from a process aimed at meeting regulatory expectations to an operating model that leverages data from disparate sources to aid business, regulatory, and healthcare decision making. Despite its many benefits, there is no single book systematically covering the latest development in the field. Written specifically for pharmaceutical practitioners, Real-World Evidence in Drug Development and Evaluation, presents a wide range of RWE applications throughout the lifecycle of drug product development. With contributions from experienced researchers in the pharmaceutical industry, the book discusses at length RWE opportunities, challenges, and solutions. Features Provides the first book and a single source of information on RWE in drug development Covers a broad array of topics on outcomes- and value-based RWE assessments Demonstrates proper Bayesian application and causal inference for real-world data (RWD) Presents real-world use cases to illustrate the use of advanced analytics and statistical methods to generate insights Offers a balanced discussion of practical RWE issues at hand and technical solutions suitable for practitioners with limited data science expertise

Detail Book of Real World Evidence in Drug Development and Evaluation PDF

Real World Evidence in Drug Development and Evaluation
  • Author : Harry Yang
  • Release : 11 January 2021
  • Publisher : CRC Press
  • ISBN : 9780429676826
  • Genre : Mathematics
  • Total Page : 208 pages
  • Language : English
  • PDF File Size : 14,5 Mb

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