Get Free Shipping on orders over $79
Does This Treatment Cause That Outcome? : The Science of Estimating a Treatment Effect and Why It Matters - Stephen J. Ruberg

Does This Treatment Cause That Outcome?

The Science of Estimating a Treatment Effect and Why It Matters

By: Stephen J. Ruberg

Hardcover | 15 July 2026 | Edition Number 1

At a Glance

Hardcover


$519.99

or 4 interest-free payments of $130.00 with

 or 

Ships in 5 to 10 business days

This book is an engaging and insightful exploration of cause-and-effect relationships in clinical research. It begins with the foundational principles of causal inference, traces the historical evolution of randomized controlled trials, and provides a clear, comprehensive explanation of the essential elements of ICH E9(R1). The central themes of ICH E9(R1) â" defining the clinical question of primary importance and establishing the estimand to answer that question â" are seamlessly integrated throughout the narrative.

A standout feature is the introduction of the Tripartite Estimand Approach, a groundbreaking framework derived from patient and physician perspectives. This approach addresses the critical questions and answers needed for informed prescribing decisions. The book also outlines a stepwise, logical process for implementing the estimand framework, offering practical guidance for clinicians, statisticians, and other professionals involved in clinical drug development. By simplifying complex concepts, this book aims to make the estimand framework more accessible and actionable across disciplines. While aligned with the principles of ICH E9(R1), the book goes beyond the established guidelines, presenting bold new ideas and perspectives that enhance the understanding of estimands.

Key Features:

  • The importance of randomization and complete data for cause-and-effect inference
  • A novel definition of incomplete data
  • A focus on the two fundamental clinical treatment effect questions underlying an estimand
  • A comprehensive definition of treatment attributes, including a new attribute describing the treatment effect
  • A simplified approach to intercurrent events (IEs)
  • A systematic process for defining an estimand, building on estimand attributes and strategies for handling IEs
  • Numerous examples spanning diverse disease states and study designs
  • And much more!

Written in a conversational style with minimal mathematical notation, Does This Treatment Cause That Outcome?: The Science of Estimating a Treatment Effect and Why It Matters is designed to be accessible to clinicians and non-statistical professionals, making it an invaluable resource for anyone involved in clinical drug development. Whether you are a seasoned statistician or new to the field, this book provides the tools and insights needed to navigate the estimand framework with confidence and clarity.

More in Epidemiology & Medical Statistics

Sentinels : when diseases spread between animals and humans - Michael Dulaney
Essentials of Medical Statistics : 2nd Edition - Betty R. Kirkwood

RRP $91.95

$59.99

35%
OFF
Crypt : Life, Death and Disease in the Middle Ages and Beyond - Alice Roberts
Modern Epidemiology : 4th Edition - Kenneth J. Rothman

RRP $271.75

$128.75

53%
OFF
Crypt : Life, Death and Disease in the Middle Ages and Beyond - Alice Roberts
Introduction to Medical Statistics : 4th edition - BLAND

RRP $93.95

$81.75

13%
OFF
Parasitology : 2nd Edition - A Conceptual Approach - Eric S. Loker

RRP $221.00

$199.75

10%
OFF
Clinical Epidemiology : 6th Edition - The Essentials - Grant S. Fletcher
Essentials of Biostatistics in Public Health : 4th Edition - Lisa M. Sullivan
Public Health : 3rd Edition - Local and Global Perspectives - Pranee Liamputtong
Epidemiology For Dummies : For Dummies - Amal K. Mitra

RRP $49.95

$37.75

24%
OFF
Fundamentals of Aerospace Medicine : 5th Edition - Jeffrey Davis

RRP $674.75

$319.75

53%
OFF
Gordis Epidemiology : 7th Edition - David D., ScD, MHS  Celentano
Genomics in Africa - Segun Fatumo

$459.75