Description

Book Synopsis

Real-world evidence is defined as evidence generated from real-world data outside randomized controlled trials. As scientific discoveries and methodologies continue to advance, real-world data and their companion technologies offer powerful new tools for evidence generation. Real-World Evidence in a Patient-Centric Digital Era provides perspectives, examples, and insights on the innovative application of real-world evidence to meet patient needs and improve healthcare, with a focus on the pharmaceutical industry.

This book presents an overview of key analytical issues and best practices. Special attention is paid to the development, methodologies, and other salient features of the statistical and data science techniques that are customarily used to generate real-world evidence. It provides a review of key topics and emerging trends in cutting-edge data science and health innovation.

Features:

  • Provides an overview

RealWorld Evidence in a PatientCentric Digital

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Order before 4pm today for delivery by Tue 30 Dec 2025.

A Paperback by Kelly H. Zou

15 in stock


    View other formats and editions of RealWorld Evidence in a PatientCentric Digital by Kelly H. Zou

    Publisher: Taylor & Francis Ltd
    Publication Date: 8/26/2024
    ISBN13: 9781032303628, 978-1032303628
    ISBN10: 103230362X
    Also in:
    Clinical trials

    Description

    Book Synopsis

    Real-world evidence is defined as evidence generated from real-world data outside randomized controlled trials. As scientific discoveries and methodologies continue to advance, real-world data and their companion technologies offer powerful new tools for evidence generation. Real-World Evidence in a Patient-Centric Digital Era provides perspectives, examples, and insights on the innovative application of real-world evidence to meet patient needs and improve healthcare, with a focus on the pharmaceutical industry.

    This book presents an overview of key analytical issues and best practices. Special attention is paid to the development, methodologies, and other salient features of the statistical and data science techniques that are customarily used to generate real-world evidence. It provides a review of key topics and emerging trends in cutting-edge data science and health innovation.

    Features:

    • Provides an overview

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