Fr. 65.00

Patient Care Under Uncertainty

English · Hardback

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Description

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For the past few years, the author, a renowned economist, has been applying the statistical tools of economics to decision making under uncertainty in the context of patient health status and response to treatment. He shows how statistical imprecision and identification problems affect empirical research in the patient-care sphere.


About the author










Charles F. Manski

Summary

For the past few years, the author, a renowned economist, has been applying the statistical tools of economics to decision making under uncertainty in the context of patient health status and response to treatment. He shows how statistical imprecision and identification problems affect empirical research in the patient-care sphere.

Foreword

An econometrician's look at the decision-making behind patient care.

Additional text

"Medicine has made spectacular advances, but its techniques for approving and selecting treatments remain locked in statistical and experimental design methods developed in the first decades of the twentieth century. In this book, Manski gives an accessible, practical explanation for why failures to confront the ambiguities of treatment decisions harm patients. He describes how modern statistical decision theory, including his own contributions, can save lives if incorporated into medical training and the decision making of clinicians, standard-setting bodies, and regulatory agencies. This is a must-read for those who take the Hippocratic Oath seriously."—Daniel McFadden, Nobel Laureate in Economics

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